Advanced search options

Advanced Search Options 🞨

Browse by author name (“Author name starts with…”).

Find ETDs with:

in
/  
in
/  
in
/  
in

Written in Published in Earliest date Latest date

Sorted by

Results per page:

Sorted by: relevance · author · university · dateNew search

You searched for +publisher:"Delft University of Technology" +contributor:("de Croon, Guido"). Showing records 1 – 30 of 32 total matches.

[1] [2]

Search Limiters

Last 2 Years | English Only

No search limiters apply to these results.

▼ Search Limiters


Delft University of Technology

1. Ozo, Michaël (author). Vision-based Autonomous Drone racing in GPS-denied Environments.

Degree: 2018, Delft University of Technology

High-speed autonomous flight of Micro Air Vehicles has gained much attention in recent years. However, flight in complex GPS-denied environments still poses a serious challenge.… (more)

Subjects/Keywords: High-speed; Autonomous flying; MAV; UAV; drone; Visual navigation; EKF

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ozo, M. (. (2018). Vision-based Autonomous Drone racing in GPS-denied Environments. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:3794f912-f141-4fa7-aff4-464598958e94

Chicago Manual of Style (16th Edition):

Ozo, Michaël (author). “Vision-based Autonomous Drone racing in GPS-denied Environments.” 2018. Masters Thesis, Delft University of Technology. Accessed January 25, 2021. http://resolver.tudelft.nl/uuid:3794f912-f141-4fa7-aff4-464598958e94.

MLA Handbook (7th Edition):

Ozo, Michaël (author). “Vision-based Autonomous Drone racing in GPS-denied Environments.” 2018. Web. 25 Jan 2021.

Vancouver:

Ozo M(. Vision-based Autonomous Drone racing in GPS-denied Environments. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Jan 25]. Available from: http://resolver.tudelft.nl/uuid:3794f912-f141-4fa7-aff4-464598958e94.

Council of Science Editors:

Ozo M(. Vision-based Autonomous Drone racing in GPS-denied Environments. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:3794f912-f141-4fa7-aff4-464598958e94


Delft University of Technology

2. Tomás Cardoso Rézio Martins, Diogo (author). Fusion of stereo and monocular depth estimates in a self-supervised learning context.

Degree: 2017, Delft University of Technology

We study how autonomous robots can better evaluate distances by fusing depth estimates from both stereo vision and a convolutional neural network (CNN) that processes… (more)

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Tomás Cardoso Rézio Martins, D. (. (2017). Fusion of stereo and monocular depth estimates in a self-supervised learning context. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:faf5d4fb-5785-4d27-9d52-0b09214f3a6a

Chicago Manual of Style (16th Edition):

Tomás Cardoso Rézio Martins, Diogo (author). “Fusion of stereo and monocular depth estimates in a self-supervised learning context.” 2017. Masters Thesis, Delft University of Technology. Accessed January 25, 2021. http://resolver.tudelft.nl/uuid:faf5d4fb-5785-4d27-9d52-0b09214f3a6a.

MLA Handbook (7th Edition):

Tomás Cardoso Rézio Martins, Diogo (author). “Fusion of stereo and monocular depth estimates in a self-supervised learning context.” 2017. Web. 25 Jan 2021.

Vancouver:

Tomás Cardoso Rézio Martins D(. Fusion of stereo and monocular depth estimates in a self-supervised learning context. [Internet] [Masters thesis]. Delft University of Technology; 2017. [cited 2021 Jan 25]. Available from: http://resolver.tudelft.nl/uuid:faf5d4fb-5785-4d27-9d52-0b09214f3a6a.

Council of Science Editors:

Tomás Cardoso Rézio Martins D(. Fusion of stereo and monocular depth estimates in a self-supervised learning context. [Masters Thesis]. Delft University of Technology; 2017. Available from: http://resolver.tudelft.nl/uuid:faf5d4fb-5785-4d27-9d52-0b09214f3a6a


Delft University of Technology

3. Kisantal, Máté (author). Deep Reinforcement Learning for Goal-directed Visual Navigation.

Degree: 2018, Delft University of Technology

Safe navigation in a cluttered environment is a key capability for the autonomous operation of Micro Aerial Vehicles (MAVs). This work explores a (deep) Reinforcement… (more)

Subjects/Keywords: reinforcement learning; deep reinforcement learning; artificial intelligence; machine learning; computer vision; MAV; UAV; MAVLAB; drone; autonomous navigation; Autonomous Vehicles; deep learning; neural networks

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Kisantal, M. (. (2018). Deep Reinforcement Learning for Goal-directed Visual Navigation. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:07bc64ba-42e3-4aa7-ba9b-ac0ac4e0e7a1

Chicago Manual of Style (16th Edition):

Kisantal, Máté (author). “Deep Reinforcement Learning for Goal-directed Visual Navigation.” 2018. Masters Thesis, Delft University of Technology. Accessed January 25, 2021. http://resolver.tudelft.nl/uuid:07bc64ba-42e3-4aa7-ba9b-ac0ac4e0e7a1.

MLA Handbook (7th Edition):

Kisantal, Máté (author). “Deep Reinforcement Learning for Goal-directed Visual Navigation.” 2018. Web. 25 Jan 2021.

Vancouver:

Kisantal M(. Deep Reinforcement Learning for Goal-directed Visual Navigation. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Jan 25]. Available from: http://resolver.tudelft.nl/uuid:07bc64ba-42e3-4aa7-ba9b-ac0ac4e0e7a1.

Council of Science Editors:

Kisantal M(. Deep Reinforcement Learning for Goal-directed Visual Navigation. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:07bc64ba-42e3-4aa7-ba9b-ac0ac4e0e7a1


Delft University of Technology

4. Heil, Tobias (author). Enhanced Sparse Depth Reconstruction Using Edge and Temporal Information: An Application to Micro Air Vehicles.

Degree: 2017, Delft University of Technology

The reconstruction of dense depth maps is of great value to resource-constrained Mirco Air Vehicles (MAVs), in the pursuit of achieving autonomous flight with a… (more)

Subjects/Keywords: Depth reconstruction; UAV; Computer vision

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Heil, T. (. (2017). Enhanced Sparse Depth Reconstruction Using Edge and Temporal Information: An Application to Micro Air Vehicles. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:de84d7b7-52f7-4c0f-a00f-d7a6c244a678

Chicago Manual of Style (16th Edition):

Heil, Tobias (author). “Enhanced Sparse Depth Reconstruction Using Edge and Temporal Information: An Application to Micro Air Vehicles.” 2017. Masters Thesis, Delft University of Technology. Accessed January 25, 2021. http://resolver.tudelft.nl/uuid:de84d7b7-52f7-4c0f-a00f-d7a6c244a678.

MLA Handbook (7th Edition):

Heil, Tobias (author). “Enhanced Sparse Depth Reconstruction Using Edge and Temporal Information: An Application to Micro Air Vehicles.” 2017. Web. 25 Jan 2021.

Vancouver:

Heil T(. Enhanced Sparse Depth Reconstruction Using Edge and Temporal Information: An Application to Micro Air Vehicles. [Internet] [Masters thesis]. Delft University of Technology; 2017. [cited 2021 Jan 25]. Available from: http://resolver.tudelft.nl/uuid:de84d7b7-52f7-4c0f-a00f-d7a6c244a678.

Council of Science Editors:

Heil T(. Enhanced Sparse Depth Reconstruction Using Edge and Temporal Information: An Application to Micro Air Vehicles. [Masters Thesis]. Delft University of Technology; 2017. Available from: http://resolver.tudelft.nl/uuid:de84d7b7-52f7-4c0f-a00f-d7a6c244a678


Delft University of Technology

5. Paredes Valles, Federico (author). Neuromorphic Computing of Event-Based Data for High-Speed Vision-Based Navigation.

Degree: 2018, Delft University of Technology

 The combination of Spiking Neural Networks and event-based vision sensors holds the potential of highly efficient and high-bandwidth optical flow estimation. This thesis presents, to… (more)

Subjects/Keywords: Event-based vision; Neuromorphic; Optical flow; Spiking Neural Networks; Spike-Timing-Dependent Plasticity

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Paredes Valles, F. (. (2018). Neuromorphic Computing of Event-Based Data for High-Speed Vision-Based Navigation. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:aa13959b-79b9-4dfc-b5e0-7c501d9d3e2f

Chicago Manual of Style (16th Edition):

Paredes Valles, Federico (author). “Neuromorphic Computing of Event-Based Data for High-Speed Vision-Based Navigation.” 2018. Masters Thesis, Delft University of Technology. Accessed January 25, 2021. http://resolver.tudelft.nl/uuid:aa13959b-79b9-4dfc-b5e0-7c501d9d3e2f.

MLA Handbook (7th Edition):

Paredes Valles, Federico (author). “Neuromorphic Computing of Event-Based Data for High-Speed Vision-Based Navigation.” 2018. Web. 25 Jan 2021.

Vancouver:

Paredes Valles F(. Neuromorphic Computing of Event-Based Data for High-Speed Vision-Based Navigation. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Jan 25]. Available from: http://resolver.tudelft.nl/uuid:aa13959b-79b9-4dfc-b5e0-7c501d9d3e2f.

Council of Science Editors:

Paredes Valles F(. Neuromorphic Computing of Event-Based Data for High-Speed Vision-Based Navigation. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:aa13959b-79b9-4dfc-b5e0-7c501d9d3e2f


Delft University of Technology

6. Büller, Bas (author). Supervised Learning in Spiking Neural Networks.

Degree: 2020, Delft University of Technology

Spiking neural networks are notoriously hard to train because of their complex dynamics and sparse spiking signals. However, in part due to these properties, spiking… (more)

Subjects/Keywords: Spiking Neural Networks(SNNs)); Supervised Learning; Online learning; Neuromorphic computing

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Büller, B. (. (2020). Supervised Learning in Spiking Neural Networks. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:256f7044-862d-4b53-b395-973dadbb7a00

Chicago Manual of Style (16th Edition):

Büller, Bas (author). “Supervised Learning in Spiking Neural Networks.” 2020. Masters Thesis, Delft University of Technology. Accessed January 25, 2021. http://resolver.tudelft.nl/uuid:256f7044-862d-4b53-b395-973dadbb7a00.

MLA Handbook (7th Edition):

Büller, Bas (author). “Supervised Learning in Spiking Neural Networks.” 2020. Web. 25 Jan 2021.

Vancouver:

Büller B(. Supervised Learning in Spiking Neural Networks. [Internet] [Masters thesis]. Delft University of Technology; 2020. [cited 2021 Jan 25]. Available from: http://resolver.tudelft.nl/uuid:256f7044-862d-4b53-b395-973dadbb7a00.

Council of Science Editors:

Büller B(. Supervised Learning in Spiking Neural Networks. [Masters Thesis]. Delft University of Technology; 2020. Available from: http://resolver.tudelft.nl/uuid:256f7044-862d-4b53-b395-973dadbb7a00


Delft University of Technology

7. Spronk, Simon (author). An Nonlinear Model Predictive Control Approach to Autonomous UAV Racing Trajectory Generation and Control.

Degree: 2020, Delft University of Technology

hen observing an Autonomous Unmanned Aerial Vehicle(UAV) race, one would be hard-pressed to call it racing as the actual velocities attained are extremely low. This… (more)

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Spronk, S. (. (2020). An Nonlinear Model Predictive Control Approach to Autonomous UAV Racing Trajectory Generation and Control. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:fc2e13cb-4ea1-4aa7-b7f2-1d8d9478daf4

Chicago Manual of Style (16th Edition):

Spronk, Simon (author). “An Nonlinear Model Predictive Control Approach to Autonomous UAV Racing Trajectory Generation and Control.” 2020. Masters Thesis, Delft University of Technology. Accessed January 25, 2021. http://resolver.tudelft.nl/uuid:fc2e13cb-4ea1-4aa7-b7f2-1d8d9478daf4.

MLA Handbook (7th Edition):

Spronk, Simon (author). “An Nonlinear Model Predictive Control Approach to Autonomous UAV Racing Trajectory Generation and Control.” 2020. Web. 25 Jan 2021.

Vancouver:

Spronk S(. An Nonlinear Model Predictive Control Approach to Autonomous UAV Racing Trajectory Generation and Control. [Internet] [Masters thesis]. Delft University of Technology; 2020. [cited 2021 Jan 25]. Available from: http://resolver.tudelft.nl/uuid:fc2e13cb-4ea1-4aa7-b7f2-1d8d9478daf4.

Council of Science Editors:

Spronk S(. An Nonlinear Model Predictive Control Approach to Autonomous UAV Racing Trajectory Generation and Control. [Masters Thesis]. Delft University of Technology; 2020. Available from: http://resolver.tudelft.nl/uuid:fc2e13cb-4ea1-4aa7-b7f2-1d8d9478daf4


Delft University of Technology

8. Spronk, Simon (author). An NonlinearModel Predictive Control Approach to Autonomous UAV Racing Trajectory Generation & Control.

Degree: 2020, Delft University of Technology

When observing an Autonomous Unmanned Aerial Vehicle(UAV) race, one would be hard-pressed to call it racing as the actual velocities attained are extremely low. This… (more)

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Spronk, S. (. (2020). An NonlinearModel Predictive Control Approach to Autonomous UAV Racing Trajectory Generation & Control. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:88e689a1-eb19-4e48-91b2-3b122a824503

Chicago Manual of Style (16th Edition):

Spronk, Simon (author). “An NonlinearModel Predictive Control Approach to Autonomous UAV Racing Trajectory Generation & Control.” 2020. Masters Thesis, Delft University of Technology. Accessed January 25, 2021. http://resolver.tudelft.nl/uuid:88e689a1-eb19-4e48-91b2-3b122a824503.

MLA Handbook (7th Edition):

Spronk, Simon (author). “An NonlinearModel Predictive Control Approach to Autonomous UAV Racing Trajectory Generation & Control.” 2020. Web. 25 Jan 2021.

Vancouver:

Spronk S(. An NonlinearModel Predictive Control Approach to Autonomous UAV Racing Trajectory Generation & Control. [Internet] [Masters thesis]. Delft University of Technology; 2020. [cited 2021 Jan 25]. Available from: http://resolver.tudelft.nl/uuid:88e689a1-eb19-4e48-91b2-3b122a824503.

Council of Science Editors:

Spronk S(. An NonlinearModel Predictive Control Approach to Autonomous UAV Racing Trajectory Generation & Control. [Masters Thesis]. Delft University of Technology; 2020. Available from: http://resolver.tudelft.nl/uuid:88e689a1-eb19-4e48-91b2-3b122a824503


Delft University of Technology

9. Napolean, Yeshwanth (author). Estimation of ego-motion velocities from single static images.

Degree: 2018, Delft University of Technology

 Velocity estimation based on visual information is a well- researched topic. Traditional approaches usually rely on how a given feature or features change between successive… (more)

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Napolean, Y. (. (2018). Estimation of ego-motion velocities from single static images. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:c75ab7d9-e711-4e0c-93ea-ff092e2e9131

Chicago Manual of Style (16th Edition):

Napolean, Yeshwanth (author). “Estimation of ego-motion velocities from single static images.” 2018. Masters Thesis, Delft University of Technology. Accessed January 25, 2021. http://resolver.tudelft.nl/uuid:c75ab7d9-e711-4e0c-93ea-ff092e2e9131.

MLA Handbook (7th Edition):

Napolean, Yeshwanth (author). “Estimation of ego-motion velocities from single static images.” 2018. Web. 25 Jan 2021.

Vancouver:

Napolean Y(. Estimation of ego-motion velocities from single static images. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Jan 25]. Available from: http://resolver.tudelft.nl/uuid:c75ab7d9-e711-4e0c-93ea-ff092e2e9131.

Council of Science Editors:

Napolean Y(. Estimation of ego-motion velocities from single static images. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:c75ab7d9-e711-4e0c-93ea-ff092e2e9131


Delft University of Technology

10. Dürnay, Philipp (author). Detecting Empty Wireframe Objects on Micro-Air Vehicles: Applied for Gate Detection in Autonomous Drone Racing.

Degree: 2018, Delft University of Technology

 Autonomous MAV are an emerging technology that supports a wide range of applications such as medical delivery or finding survivors in disaster scenarios. As flying… (more)

Subjects/Keywords: Computer Vision; Deep Learning; Convolutional Neural Network; Object Detection

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Dürnay, P. (. (2018). Detecting Empty Wireframe Objects on Micro-Air Vehicles: Applied for Gate Detection in Autonomous Drone Racing. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:82cb0f68-061e-4346-b536-a35a61621e51

Chicago Manual of Style (16th Edition):

Dürnay, Philipp (author). “Detecting Empty Wireframe Objects on Micro-Air Vehicles: Applied for Gate Detection in Autonomous Drone Racing.” 2018. Masters Thesis, Delft University of Technology. Accessed January 25, 2021. http://resolver.tudelft.nl/uuid:82cb0f68-061e-4346-b536-a35a61621e51.

MLA Handbook (7th Edition):

Dürnay, Philipp (author). “Detecting Empty Wireframe Objects on Micro-Air Vehicles: Applied for Gate Detection in Autonomous Drone Racing.” 2018. Web. 25 Jan 2021.

Vancouver:

Dürnay P(. Detecting Empty Wireframe Objects on Micro-Air Vehicles: Applied for Gate Detection in Autonomous Drone Racing. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Jan 25]. Available from: http://resolver.tudelft.nl/uuid:82cb0f68-061e-4346-b536-a35a61621e51.

Council of Science Editors:

Dürnay P(. Detecting Empty Wireframe Objects on Micro-Air Vehicles: Applied for Gate Detection in Autonomous Drone Racing. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:82cb0f68-061e-4346-b536-a35a61621e51


Delft University of Technology

11. Blom, Jari (author). Onboard Visual Control of a Quadcopter MAV performing a Landing Task: on a Platform of Unknown Size and Location.

Degree: 2019, Delft University of Technology

 Vision based control allows Micro Air Vehicles (MAV) to move autonomously in GPS-denied environments, for example in indoor applications. An open issue in this field… (more)

Subjects/Keywords: Autonomous; Drone; Visual Servoing; Optical Flow; Tracking

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Blom, J. (. (2019). Onboard Visual Control of a Quadcopter MAV performing a Landing Task: on a Platform of Unknown Size and Location. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:57cfce9e-75aa-42f1-bed4-64b64b927fb4

Chicago Manual of Style (16th Edition):

Blom, Jari (author). “Onboard Visual Control of a Quadcopter MAV performing a Landing Task: on a Platform of Unknown Size and Location.” 2019. Masters Thesis, Delft University of Technology. Accessed January 25, 2021. http://resolver.tudelft.nl/uuid:57cfce9e-75aa-42f1-bed4-64b64b927fb4.

MLA Handbook (7th Edition):

Blom, Jari (author). “Onboard Visual Control of a Quadcopter MAV performing a Landing Task: on a Platform of Unknown Size and Location.” 2019. Web. 25 Jan 2021.

Vancouver:

Blom J(. Onboard Visual Control of a Quadcopter MAV performing a Landing Task: on a Platform of Unknown Size and Location. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2021 Jan 25]. Available from: http://resolver.tudelft.nl/uuid:57cfce9e-75aa-42f1-bed4-64b64b927fb4.

Council of Science Editors:

Blom J(. Onboard Visual Control of a Quadcopter MAV performing a Landing Task: on a Platform of Unknown Size and Location. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:57cfce9e-75aa-42f1-bed4-64b64b927fb4


Delft University of Technology

12. Fijen, Thomas (author). Persistent Surveillance of a Greenhouse: Evolved neural network controllers for a swarm of UAVs.

Degree: 2019, Delft University of Technology

 With the growing population the agricultural industry needs to find and implement new methods for enhancing food production. Using a Micro Aerial Vehicle (MAV) in… (more)

Subjects/Keywords: Persistent Surveillance; MAV; NEAT; NN

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Fijen, T. (. (2019). Persistent Surveillance of a Greenhouse: Evolved neural network controllers for a swarm of UAVs. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:ec42642a-5872-4177-b514-c3679f6b4055

Chicago Manual of Style (16th Edition):

Fijen, Thomas (author). “Persistent Surveillance of a Greenhouse: Evolved neural network controllers for a swarm of UAVs.” 2019. Masters Thesis, Delft University of Technology. Accessed January 25, 2021. http://resolver.tudelft.nl/uuid:ec42642a-5872-4177-b514-c3679f6b4055.

MLA Handbook (7th Edition):

Fijen, Thomas (author). “Persistent Surveillance of a Greenhouse: Evolved neural network controllers for a swarm of UAVs.” 2019. Web. 25 Jan 2021.

Vancouver:

Fijen T(. Persistent Surveillance of a Greenhouse: Evolved neural network controllers for a swarm of UAVs. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2021 Jan 25]. Available from: http://resolver.tudelft.nl/uuid:ec42642a-5872-4177-b514-c3679f6b4055.

Council of Science Editors:

Fijen T(. Persistent Surveillance of a Greenhouse: Evolved neural network controllers for a swarm of UAVs. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:ec42642a-5872-4177-b514-c3679f6b4055


Delft University of Technology

13. Vlenterie, Wilco (author). Velocity Templates for Dense Swarms of Flying Robots.

Degree: 2017, Delft University of Technology

In the near future many tasks could be performed by swarms of flying robots. To successfully implement multiple of these swarms in the same airspace… (more)

Subjects/Keywords: Unmanned Aerial Vehicles; Autonomous Swarming; Computer Vision; Distributed systems

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Vlenterie, W. (. (2017). Velocity Templates for Dense Swarms of Flying Robots. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:ec5df737-cad0-4b24-89a0-75d45ebac51b

Chicago Manual of Style (16th Edition):

Vlenterie, Wilco (author). “Velocity Templates for Dense Swarms of Flying Robots.” 2017. Masters Thesis, Delft University of Technology. Accessed January 25, 2021. http://resolver.tudelft.nl/uuid:ec5df737-cad0-4b24-89a0-75d45ebac51b.

MLA Handbook (7th Edition):

Vlenterie, Wilco (author). “Velocity Templates for Dense Swarms of Flying Robots.” 2017. Web. 25 Jan 2021.

Vancouver:

Vlenterie W(. Velocity Templates for Dense Swarms of Flying Robots. [Internet] [Masters thesis]. Delft University of Technology; 2017. [cited 2021 Jan 25]. Available from: http://resolver.tudelft.nl/uuid:ec5df737-cad0-4b24-89a0-75d45ebac51b.

Council of Science Editors:

Vlenterie W(. Velocity Templates for Dense Swarms of Flying Robots. [Masters Thesis]. Delft University of Technology; 2017. Available from: http://resolver.tudelft.nl/uuid:ec5df737-cad0-4b24-89a0-75d45ebac51b


Delft University of Technology

14. Andriessen, Frerik (author). Ready for detection: Stair-detecting in depth images using spatial features and Adaboosting.

Degree: 2018, Delft University of Technology

Space exploration could be significantly aided by combining the disciplines of machine learning and computer vision, but these disciplines need to be developed further for… (more)

Subjects/Keywords: Machine Learning; Adaboosting; Computer Vision; Depth Camera

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Andriessen, F. (. (2018). Ready for detection: Stair-detecting in depth images using spatial features and Adaboosting. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:ed1025e8-66ad-4e71-ba8e-771f511e9022

Chicago Manual of Style (16th Edition):

Andriessen, Frerik (author). “Ready for detection: Stair-detecting in depth images using spatial features and Adaboosting.” 2018. Masters Thesis, Delft University of Technology. Accessed January 25, 2021. http://resolver.tudelft.nl/uuid:ed1025e8-66ad-4e71-ba8e-771f511e9022.

MLA Handbook (7th Edition):

Andriessen, Frerik (author). “Ready for detection: Stair-detecting in depth images using spatial features and Adaboosting.” 2018. Web. 25 Jan 2021.

Vancouver:

Andriessen F(. Ready for detection: Stair-detecting in depth images using spatial features and Adaboosting. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Jan 25]. Available from: http://resolver.tudelft.nl/uuid:ed1025e8-66ad-4e71-ba8e-771f511e9022.

Council of Science Editors:

Andriessen F(. Ready for detection: Stair-detecting in depth images using spatial features and Adaboosting. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:ed1025e8-66ad-4e71-ba8e-771f511e9022


Delft University of Technology

15. van Dijk, Tom (author). Low-memory Visual Route Following for Micro Aerial Vehicles in Indoor Environments.

Degree: 2017, Delft University of Technology

This thesis presents a visual route following method that minimizes memory consumption to the point that even Micro Aerial Vehicles (MAV) equipped with only a… (more)

Subjects/Keywords: navigation; route following; visual homing; odometry; indoor; micro aerial vehicle; MAV; unmanned aerial vehicle; UAV; quadrotor; vision; ARDrone; MAVLAB

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

van Dijk, T. (. (2017). Low-memory Visual Route Following for Micro Aerial Vehicles in Indoor Environments. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:82c91d74-6c01-4718-a574-221df210f01a

Chicago Manual of Style (16th Edition):

van Dijk, Tom (author). “Low-memory Visual Route Following for Micro Aerial Vehicles in Indoor Environments.” 2017. Masters Thesis, Delft University of Technology. Accessed January 25, 2021. http://resolver.tudelft.nl/uuid:82c91d74-6c01-4718-a574-221df210f01a.

MLA Handbook (7th Edition):

van Dijk, Tom (author). “Low-memory Visual Route Following for Micro Aerial Vehicles in Indoor Environments.” 2017. Web. 25 Jan 2021.

Vancouver:

van Dijk T(. Low-memory Visual Route Following for Micro Aerial Vehicles in Indoor Environments. [Internet] [Masters thesis]. Delft University of Technology; 2017. [cited 2021 Jan 25]. Available from: http://resolver.tudelft.nl/uuid:82c91d74-6c01-4718-a574-221df210f01a.

Council of Science Editors:

van Dijk T(. Low-memory Visual Route Following for Micro Aerial Vehicles in Indoor Environments. [Masters Thesis]. Delft University of Technology; 2017. Available from: http://resolver.tudelft.nl/uuid:82c91d74-6c01-4718-a574-221df210f01a


Delft University of Technology

16. Lin, Jiahao (author). Real-time Vision-based Autonomous Navigation of MAV in Dynamic Environments.

Degree: 2019, Delft University of Technology

Safe navigation in unknown environments is a challenging task for autonomous Micro Aerial Vehicle (MAV) systems. Previous works generally avoid obstacles by assuming that the… (more)

Subjects/Keywords: Autonomous Navigation; Micro Aerial Vehicle; Obstacle Avoidance; Model Predictive Contrl

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Lin, J. (. (2019). Real-time Vision-based Autonomous Navigation of MAV in Dynamic Environments. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:91f200f7-4966-4504-bc83-5a87e5550a91

Chicago Manual of Style (16th Edition):

Lin, Jiahao (author). “Real-time Vision-based Autonomous Navigation of MAV in Dynamic Environments.” 2019. Masters Thesis, Delft University of Technology. Accessed January 25, 2021. http://resolver.tudelft.nl/uuid:91f200f7-4966-4504-bc83-5a87e5550a91.

MLA Handbook (7th Edition):

Lin, Jiahao (author). “Real-time Vision-based Autonomous Navigation of MAV in Dynamic Environments.” 2019. Web. 25 Jan 2021.

Vancouver:

Lin J(. Real-time Vision-based Autonomous Navigation of MAV in Dynamic Environments. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2021 Jan 25]. Available from: http://resolver.tudelft.nl/uuid:91f200f7-4966-4504-bc83-5a87e5550a91.

Council of Science Editors:

Lin J(. Real-time Vision-based Autonomous Navigation of MAV in Dynamic Environments. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:91f200f7-4966-4504-bc83-5a87e5550a91


Delft University of Technology

17. Wijnker, Dirk (author). Hear-and-avoid for UAVs using convolutional neural networks.

Degree: 2018, Delft University of Technology

 We investigate how an Unmanned Air Vehicle (UAV) can detect manned aircraft with a single microphone. In particular, we create an audio data set in… (more)

Subjects/Keywords: Hear-and-avoid; Convolutional Neural Network; Spectrogram; Mel; UAV; MFCC

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Wijnker, D. (. (2018). Hear-and-avoid for UAVs using convolutional neural networks. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:28fad2a0-4b4c-47f4-8930-01708f4b52d1

Chicago Manual of Style (16th Edition):

Wijnker, Dirk (author). “Hear-and-avoid for UAVs using convolutional neural networks.” 2018. Masters Thesis, Delft University of Technology. Accessed January 25, 2021. http://resolver.tudelft.nl/uuid:28fad2a0-4b4c-47f4-8930-01708f4b52d1.

MLA Handbook (7th Edition):

Wijnker, Dirk (author). “Hear-and-avoid for UAVs using convolutional neural networks.” 2018. Web. 25 Jan 2021.

Vancouver:

Wijnker D(. Hear-and-avoid for UAVs using convolutional neural networks. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Jan 25]. Available from: http://resolver.tudelft.nl/uuid:28fad2a0-4b4c-47f4-8930-01708f4b52d1.

Council of Science Editors:

Wijnker D(. Hear-and-avoid for UAVs using convolutional neural networks. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:28fad2a0-4b4c-47f4-8930-01708f4b52d1


Delft University of Technology

18. Lee, Seong Hun (author). Stability-based Scale Estimation of Monocular SLAM for Autonomous Quadrotor Navigation.

Degree: 2017, Delft University of Technology

 We propose a novel method to deal with the scale ambiguity in monocular SLAM based on control stability. We analytically show that (1) using unscaled… (more)

Subjects/Keywords: monocular SLAM; autonomous navigation; scale estimation; quadrotor; MAV; visual SLAM

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Lee, S. H. (. (2017). Stability-based Scale Estimation of Monocular SLAM for Autonomous Quadrotor Navigation. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:015f322f-9d86-4717-b2e2-74cf25bfa70c

Chicago Manual of Style (16th Edition):

Lee, Seong Hun (author). “Stability-based Scale Estimation of Monocular SLAM for Autonomous Quadrotor Navigation.” 2017. Masters Thesis, Delft University of Technology. Accessed January 25, 2021. http://resolver.tudelft.nl/uuid:015f322f-9d86-4717-b2e2-74cf25bfa70c.

MLA Handbook (7th Edition):

Lee, Seong Hun (author). “Stability-based Scale Estimation of Monocular SLAM for Autonomous Quadrotor Navigation.” 2017. Web. 25 Jan 2021.

Vancouver:

Lee SH(. Stability-based Scale Estimation of Monocular SLAM for Autonomous Quadrotor Navigation. [Internet] [Masters thesis]. Delft University of Technology; 2017. [cited 2021 Jan 25]. Available from: http://resolver.tudelft.nl/uuid:015f322f-9d86-4717-b2e2-74cf25bfa70c.

Council of Science Editors:

Lee SH(. Stability-based Scale Estimation of Monocular SLAM for Autonomous Quadrotor Navigation. [Masters Thesis]. Delft University of Technology; 2017. Available from: http://resolver.tudelft.nl/uuid:015f322f-9d86-4717-b2e2-74cf25bfa70c


Delft University of Technology

19. Granero Moneva, Nacho (author). Thermal Modelling and Thermal Control Optimisation of the mN-μHEMPT.

Degree: 2017, Delft University of Technology

Airbus Friedrichshafen is working on the development of a milliNewton HEMPT (High Efficiency Multistage Plasma Thruster): an electrostatic thruster concept suitable for small satellite propulsion.… (more)

Subjects/Keywords: HEMPT; electric propulsion; thruster; space; thermal; modelling; thermal analysis; Systema

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Granero Moneva, N. (. (2017). Thermal Modelling and Thermal Control Optimisation of the mN-μHEMPT. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:0333e720-8105-4429-abcd-430c0d04f031

Chicago Manual of Style (16th Edition):

Granero Moneva, Nacho (author). “Thermal Modelling and Thermal Control Optimisation of the mN-μHEMPT.” 2017. Masters Thesis, Delft University of Technology. Accessed January 25, 2021. http://resolver.tudelft.nl/uuid:0333e720-8105-4429-abcd-430c0d04f031.

MLA Handbook (7th Edition):

Granero Moneva, Nacho (author). “Thermal Modelling and Thermal Control Optimisation of the mN-μHEMPT.” 2017. Web. 25 Jan 2021.

Vancouver:

Granero Moneva N(. Thermal Modelling and Thermal Control Optimisation of the mN-μHEMPT. [Internet] [Masters thesis]. Delft University of Technology; 2017. [cited 2021 Jan 25]. Available from: http://resolver.tudelft.nl/uuid:0333e720-8105-4429-abcd-430c0d04f031.

Council of Science Editors:

Granero Moneva N(. Thermal Modelling and Thermal Control Optimisation of the mN-μHEMPT. [Masters Thesis]. Delft University of Technology; 2017. Available from: http://resolver.tudelft.nl/uuid:0333e720-8105-4429-abcd-430c0d04f031


Delft University of Technology

20. Bendriş, Bianca (author). Decentralized Stochastic Optimal Control for a Swarm of Micro Aerial Vehicles.

Degree: 2019, Delft University of Technology

In this work, we model a multi-robot formation planning and control task as an optimization problem, which we solve on-line and in a decentralized manner… (more)

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Bendriş, B. (. (2019). Decentralized Stochastic Optimal Control for a Swarm of Micro Aerial Vehicles. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:0cd4f9e3-faf3-4e65-995c-7dd401c8da4c

Chicago Manual of Style (16th Edition):

Bendriş, Bianca (author). “Decentralized Stochastic Optimal Control for a Swarm of Micro Aerial Vehicles.” 2019. Masters Thesis, Delft University of Technology. Accessed January 25, 2021. http://resolver.tudelft.nl/uuid:0cd4f9e3-faf3-4e65-995c-7dd401c8da4c.

MLA Handbook (7th Edition):

Bendriş, Bianca (author). “Decentralized Stochastic Optimal Control for a Swarm of Micro Aerial Vehicles.” 2019. Web. 25 Jan 2021.

Vancouver:

Bendriş B(. Decentralized Stochastic Optimal Control for a Swarm of Micro Aerial Vehicles. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2021 Jan 25]. Available from: http://resolver.tudelft.nl/uuid:0cd4f9e3-faf3-4e65-995c-7dd401c8da4c.

Council of Science Editors:

Bendriş B(. Decentralized Stochastic Optimal Control for a Swarm of Micro Aerial Vehicles. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:0cd4f9e3-faf3-4e65-995c-7dd401c8da4c


Delft University of Technology

21. Potdar, Nikhil (author). Online Trajectory Planning and Control of a MAV Payload System in Dynamic Environments: A Non-Linear Model Predictive Control Approach.

Degree: 2018, Delft University of Technology

Micro Aerial Vehicles (MAVs) are increasingly being used for aerial transportation in remote and urban spaces where portability can be exploited to reach previously inaccessible… (more)

Subjects/Keywords: Autonomous Vehicles; Micro Aerial Vehicle; Model Predictive Control; Optimal control; Collision Avoidance; Dynamic Environment; MAV

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Potdar, N. (. (2018). Online Trajectory Planning and Control of a MAV Payload System in Dynamic Environments: A Non-Linear Model Predictive Control Approach. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:28774acc-89e7-44a8-be43-b06d2db0056c

Chicago Manual of Style (16th Edition):

Potdar, Nikhil (author). “Online Trajectory Planning and Control of a MAV Payload System in Dynamic Environments: A Non-Linear Model Predictive Control Approach.” 2018. Masters Thesis, Delft University of Technology. Accessed January 25, 2021. http://resolver.tudelft.nl/uuid:28774acc-89e7-44a8-be43-b06d2db0056c.

MLA Handbook (7th Edition):

Potdar, Nikhil (author). “Online Trajectory Planning and Control of a MAV Payload System in Dynamic Environments: A Non-Linear Model Predictive Control Approach.” 2018. Web. 25 Jan 2021.

Vancouver:

Potdar N(. Online Trajectory Planning and Control of a MAV Payload System in Dynamic Environments: A Non-Linear Model Predictive Control Approach. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Jan 25]. Available from: http://resolver.tudelft.nl/uuid:28774acc-89e7-44a8-be43-b06d2db0056c.

Council of Science Editors:

Potdar N(. Online Trajectory Planning and Control of a MAV Payload System in Dynamic Environments: A Non-Linear Model Predictive Control Approach. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:28774acc-89e7-44a8-be43-b06d2db0056c


Delft University of Technology

22. van Vrede, Daan (author). Flight control and collision avoidance for quadcopter and flapping wing MAVs using only optical flow: Theory, Simulation and Experiment.

Degree: 2018, Delft University of Technology

 Both quadcopter Micro Aerial Vehicles (MAVs) and Flapping Wing MAVs (FWMAVs) are constrained in Size, Weight and Processing power (SWaP) in order to achieve flight… (more)

Subjects/Keywords: Optical flow; MAV; FWMAV; Micro Aerial Vehicle; Flight Control Systems; Bio-inspired; quadcopter; Atalanta; Embedded Systems; Optical flow sensors; Stability Analysis; PD control; P feedback; PD feedback

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

van Vrede, D. (. (2018). Flight control and collision avoidance for quadcopter and flapping wing MAVs using only optical flow: Theory, Simulation and Experiment. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:b0394f21-302c-484d-a6dc-031f5860c521

Chicago Manual of Style (16th Edition):

van Vrede, Daan (author). “Flight control and collision avoidance for quadcopter and flapping wing MAVs using only optical flow: Theory, Simulation and Experiment.” 2018. Masters Thesis, Delft University of Technology. Accessed January 25, 2021. http://resolver.tudelft.nl/uuid:b0394f21-302c-484d-a6dc-031f5860c521.

MLA Handbook (7th Edition):

van Vrede, Daan (author). “Flight control and collision avoidance for quadcopter and flapping wing MAVs using only optical flow: Theory, Simulation and Experiment.” 2018. Web. 25 Jan 2021.

Vancouver:

van Vrede D(. Flight control and collision avoidance for quadcopter and flapping wing MAVs using only optical flow: Theory, Simulation and Experiment. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Jan 25]. Available from: http://resolver.tudelft.nl/uuid:b0394f21-302c-484d-a6dc-031f5860c521.

Council of Science Editors:

van Vrede D(. Flight control and collision avoidance for quadcopter and flapping wing MAVs using only optical flow: Theory, Simulation and Experiment. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:b0394f21-302c-484d-a6dc-031f5860c521


Delft University of Technology

23. Kajak, Karl (author). A minimal longitudinal dynamic model of a tailless flapping wing robot.

Degree: 2018, Delft University of Technology

Tailless flapping wing micro air vehicles (FWMAVs) have the potential of providing efficient flight at small scale, with considerable agility. However, this agility also brings… (more)

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Kajak, K. (. (2018). A minimal longitudinal dynamic model of a tailless flapping wing robot. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:717e7e15-94c3-47ac-a348-12f5c2275aa2

Chicago Manual of Style (16th Edition):

Kajak, Karl (author). “A minimal longitudinal dynamic model of a tailless flapping wing robot.” 2018. Masters Thesis, Delft University of Technology. Accessed January 25, 2021. http://resolver.tudelft.nl/uuid:717e7e15-94c3-47ac-a348-12f5c2275aa2.

MLA Handbook (7th Edition):

Kajak, Karl (author). “A minimal longitudinal dynamic model of a tailless flapping wing robot.” 2018. Web. 25 Jan 2021.

Vancouver:

Kajak K(. A minimal longitudinal dynamic model of a tailless flapping wing robot. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Jan 25]. Available from: http://resolver.tudelft.nl/uuid:717e7e15-94c3-47ac-a348-12f5c2275aa2.

Council of Science Editors:

Kajak K(. A minimal longitudinal dynamic model of a tailless flapping wing robot. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:717e7e15-94c3-47ac-a348-12f5c2275aa2


Delft University of Technology

24. Vanzella, Alessandro (author). Structure-from-Motion Hazard Detection for Autonomous Planetary Landings.

Degree: 2017, Delft University of Technology

 Future space exploration missions on solar system bodies will require landing safely and precisely, with an accuracy of ~100 m at touchdown. This accomplishment is… (more)

Subjects/Keywords: Planetary Landings; Hazard Detection; Computer Vision; Structure-from-Motion; Passive sensors; PANGU; Digital Elevation Model

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Vanzella, A. (. (2017). Structure-from-Motion Hazard Detection for Autonomous Planetary Landings. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:9494dbb1-9da0-44de-b401-02e297a3689c

Chicago Manual of Style (16th Edition):

Vanzella, Alessandro (author). “Structure-from-Motion Hazard Detection for Autonomous Planetary Landings.” 2017. Masters Thesis, Delft University of Technology. Accessed January 25, 2021. http://resolver.tudelft.nl/uuid:9494dbb1-9da0-44de-b401-02e297a3689c.

MLA Handbook (7th Edition):

Vanzella, Alessandro (author). “Structure-from-Motion Hazard Detection for Autonomous Planetary Landings.” 2017. Web. 25 Jan 2021.

Vancouver:

Vanzella A(. Structure-from-Motion Hazard Detection for Autonomous Planetary Landings. [Internet] [Masters thesis]. Delft University of Technology; 2017. [cited 2021 Jan 25]. Available from: http://resolver.tudelft.nl/uuid:9494dbb1-9da0-44de-b401-02e297a3689c.

Council of Science Editors:

Vanzella A(. Structure-from-Motion Hazard Detection for Autonomous Planetary Landings. [Masters Thesis]. Delft University of Technology; 2017. Available from: http://resolver.tudelft.nl/uuid:9494dbb1-9da0-44de-b401-02e297a3689c


Delft University of Technology

25. Leest, Steven (author). Directed Increment Policy Search for Behavior Tree Task Performance Optimization: Crossing the Reality Gap.

Degree: 2017, Delft University of Technology

Robotic behavior policies learned in simulation suffer from a performance degradation once transferred to a real-world robotic platform. This performance degradation originates from discrepancies between… (more)

Subjects/Keywords: Reinforcement Learning; Policy Search; Behavior Tree; Behavior; Robotics

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Leest, S. (. (2017). Directed Increment Policy Search for Behavior Tree Task Performance Optimization: Crossing the Reality Gap. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:ff167b06-bbaf-4897-b76c-9f246e50eadb

Chicago Manual of Style (16th Edition):

Leest, Steven (author). “Directed Increment Policy Search for Behavior Tree Task Performance Optimization: Crossing the Reality Gap.” 2017. Masters Thesis, Delft University of Technology. Accessed January 25, 2021. http://resolver.tudelft.nl/uuid:ff167b06-bbaf-4897-b76c-9f246e50eadb.

MLA Handbook (7th Edition):

Leest, Steven (author). “Directed Increment Policy Search for Behavior Tree Task Performance Optimization: Crossing the Reality Gap.” 2017. Web. 25 Jan 2021.

Vancouver:

Leest S(. Directed Increment Policy Search for Behavior Tree Task Performance Optimization: Crossing the Reality Gap. [Internet] [Masters thesis]. Delft University of Technology; 2017. [cited 2021 Jan 25]. Available from: http://resolver.tudelft.nl/uuid:ff167b06-bbaf-4897-b76c-9f246e50eadb.

Council of Science Editors:

Leest S(. Directed Increment Policy Search for Behavior Tree Task Performance Optimization: Crossing the Reality Gap. [Masters Thesis]. Delft University of Technology; 2017. Available from: http://resolver.tudelft.nl/uuid:ff167b06-bbaf-4897-b76c-9f246e50eadb


Delft University of Technology

26. Sheth, Nilay (author). State Estimation and Optimal Control for Racing Drones: In search of control algorithms for competing against human pilots.

Degree: 2019, Delft University of Technology

 The e-sport of drone-racing involves human pilots to race against time. Recently, drone races have also gone fully-autonomous. As a result, these agile robotic platforms… (more)

Subjects/Keywords: drone-racing; optimal-control; state-estimation

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Sheth, N. (. (2019). State Estimation and Optimal Control for Racing Drones: In search of control algorithms for competing against human pilots. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:99f41ef5-f2c9-4a0a-9b89-0245e106f6de

Chicago Manual of Style (16th Edition):

Sheth, Nilay (author). “State Estimation and Optimal Control for Racing Drones: In search of control algorithms for competing against human pilots.” 2019. Masters Thesis, Delft University of Technology. Accessed January 25, 2021. http://resolver.tudelft.nl/uuid:99f41ef5-f2c9-4a0a-9b89-0245e106f6de.

MLA Handbook (7th Edition):

Sheth, Nilay (author). “State Estimation and Optimal Control for Racing Drones: In search of control algorithms for competing against human pilots.” 2019. Web. 25 Jan 2021.

Vancouver:

Sheth N(. State Estimation and Optimal Control for Racing Drones: In search of control algorithms for competing against human pilots. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2021 Jan 25]. Available from: http://resolver.tudelft.nl/uuid:99f41ef5-f2c9-4a0a-9b89-0245e106f6de.

Council of Science Editors:

Sheth N(. State Estimation and Optimal Control for Racing Drones: In search of control algorithms for competing against human pilots. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:99f41ef5-f2c9-4a0a-9b89-0245e106f6de


Delft University of Technology

27. van der Werff, Danielle (author). Passive Localization of Robots with Ambient Light.

Degree: 2018, Delft University of Technology

 A lot of research is been being done on Visible Light Communication (VLC), which has shown to be of interest for many applications, such as… (more)

Subjects/Keywords: Localization; Ambient light; Passive light communication

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

van der Werff, D. (. (2018). Passive Localization of Robots with Ambient Light. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:82cfe98f-46ad-42b4-8021-082fbae1f740

Chicago Manual of Style (16th Edition):

van der Werff, Danielle (author). “Passive Localization of Robots with Ambient Light.” 2018. Masters Thesis, Delft University of Technology. Accessed January 25, 2021. http://resolver.tudelft.nl/uuid:82cfe98f-46ad-42b4-8021-082fbae1f740.

MLA Handbook (7th Edition):

van der Werff, Danielle (author). “Passive Localization of Robots with Ambient Light.” 2018. Web. 25 Jan 2021.

Vancouver:

van der Werff D(. Passive Localization of Robots with Ambient Light. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Jan 25]. Available from: http://resolver.tudelft.nl/uuid:82cfe98f-46ad-42b4-8021-082fbae1f740.

Council of Science Editors:

van der Werff D(. Passive Localization of Robots with Ambient Light. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:82cfe98f-46ad-42b4-8021-082fbae1f740


Delft University of Technology

28. van der Helm, Steven (author). On-board Range-based Relative Localization: For Leader-Follower Flight of Micro Aerial Vehicles.

Degree: 2018, Delft University of Technology

 In this paper a range-based relative localization solution is proposed and demonstrated in practice. The approach is based on wireless range measurements between robots, along… (more)

Subjects/Keywords: Relative Localization; Leader-Follower; Swarming; Ultra Wideband

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

van der Helm, S. (. (2018). On-board Range-based Relative Localization: For Leader-Follower Flight of Micro Aerial Vehicles. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:6a3c6f9c-1634-4575-844c-510092f73dc6

Chicago Manual of Style (16th Edition):

van der Helm, Steven (author). “On-board Range-based Relative Localization: For Leader-Follower Flight of Micro Aerial Vehicles.” 2018. Masters Thesis, Delft University of Technology. Accessed January 25, 2021. http://resolver.tudelft.nl/uuid:6a3c6f9c-1634-4575-844c-510092f73dc6.

MLA Handbook (7th Edition):

van der Helm, Steven (author). “On-board Range-based Relative Localization: For Leader-Follower Flight of Micro Aerial Vehicles.” 2018. Web. 25 Jan 2021.

Vancouver:

van der Helm S(. On-board Range-based Relative Localization: For Leader-Follower Flight of Micro Aerial Vehicles. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Jan 25]. Available from: http://resolver.tudelft.nl/uuid:6a3c6f9c-1634-4575-844c-510092f73dc6.

Council of Science Editors:

van der Helm S(. On-board Range-based Relative Localization: For Leader-Follower Flight of Micro Aerial Vehicles. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:6a3c6f9c-1634-4575-844c-510092f73dc6


Delft University of Technology

29. Stroobants, Stein (author). On-board Micro Quadrotor State Estimation Using Range Measurements: A Moving Horizon Approach.

Degree: 2019, Delft University of Technology

Accurate indoor localization is essential for autonomous robotic agents to perform tasks ranging from warehouse management to remote sensing in greenhouses. Recently Ultra Wideband (UWB)… (more)

Subjects/Keywords: quadrotors; drones; state estimation; state-estimation; moving horizon estimation; least-squares; crazyflie

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Stroobants, S. (. (2019). On-board Micro Quadrotor State Estimation Using Range Measurements: A Moving Horizon Approach. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:c4170bbd-059d-4874-82f9-958bec2c668e

Chicago Manual of Style (16th Edition):

Stroobants, Stein (author). “On-board Micro Quadrotor State Estimation Using Range Measurements: A Moving Horizon Approach.” 2019. Masters Thesis, Delft University of Technology. Accessed January 25, 2021. http://resolver.tudelft.nl/uuid:c4170bbd-059d-4874-82f9-958bec2c668e.

MLA Handbook (7th Edition):

Stroobants, Stein (author). “On-board Micro Quadrotor State Estimation Using Range Measurements: A Moving Horizon Approach.” 2019. Web. 25 Jan 2021.

Vancouver:

Stroobants S(. On-board Micro Quadrotor State Estimation Using Range Measurements: A Moving Horizon Approach. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2021 Jan 25]. Available from: http://resolver.tudelft.nl/uuid:c4170bbd-059d-4874-82f9-958bec2c668e.

Council of Science Editors:

Stroobants S(. On-board Micro Quadrotor State Estimation Using Range Measurements: A Moving Horizon Approach. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:c4170bbd-059d-4874-82f9-958bec2c668e


Delft University of Technology

30. Kroezen, Dave (author). Online Reinforcement Learning for Flight Control: An Adaptive Critic Design without prior model knowledge.

Degree: 2019, Delft University of Technology

Online Reinforcement Learning is a possible solution for adaptive nonlinear flight control. In this research an Adaptive Critic Design (ACD) based on Dual Heuristic Dynamic… (more)

Subjects/Keywords: Reinforcement Learning (RL); Adaptive Control; Online Learning; Adaptive Critic Designs; Flight Control Systems; Adaptive Flight Control; Machine Learning

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Kroezen, D. (. (2019). Online Reinforcement Learning for Flight Control: An Adaptive Critic Design without prior model knowledge. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:38547b1d-0535-4b30-a348-67ac40c7ddcc

Chicago Manual of Style (16th Edition):

Kroezen, Dave (author). “Online Reinforcement Learning for Flight Control: An Adaptive Critic Design without prior model knowledge.” 2019. Masters Thesis, Delft University of Technology. Accessed January 25, 2021. http://resolver.tudelft.nl/uuid:38547b1d-0535-4b30-a348-67ac40c7ddcc.

MLA Handbook (7th Edition):

Kroezen, Dave (author). “Online Reinforcement Learning for Flight Control: An Adaptive Critic Design without prior model knowledge.” 2019. Web. 25 Jan 2021.

Vancouver:

Kroezen D(. Online Reinforcement Learning for Flight Control: An Adaptive Critic Design without prior model knowledge. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2021 Jan 25]. Available from: http://resolver.tudelft.nl/uuid:38547b1d-0535-4b30-a348-67ac40c7ddcc.

Council of Science Editors:

Kroezen D(. Online Reinforcement Learning for Flight Control: An Adaptive Critic Design without prior model knowledge. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:38547b1d-0535-4b30-a348-67ac40c7ddcc

[1] [2]

.