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You searched for +publisher:"Delft University of Technology" +contributor:("Alonso Mora, Javier"). Showing records 1 – 30 of 33 total matches.

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Delft University of Technology

1. Bellan, Daniele (author). Optimal Cost Prediction in the Vehicle Routing Problem Through Supervised Learning.

Degree: 2018, Delft University of Technology

Machine learning techniques aim to train a model in such a way that it can approximate complex dynamics like the vehicle routing problem. In the… (more)

Subjects/Keywords: Pick-up and Delivery Problem; cost prediction; neural networks; greedy heuristic

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APA (6th Edition):

Bellan, D. (. (2018). Optimal Cost Prediction in the Vehicle Routing Problem Through Supervised Learning. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:4461e3dd-0ba3-4d18-a9dc-88c31b43a36f

Chicago Manual of Style (16th Edition):

Bellan, Daniele (author). “Optimal Cost Prediction in the Vehicle Routing Problem Through Supervised Learning.” 2018. Masters Thesis, Delft University of Technology. Accessed January 23, 2021. http://resolver.tudelft.nl/uuid:4461e3dd-0ba3-4d18-a9dc-88c31b43a36f.

MLA Handbook (7th Edition):

Bellan, Daniele (author). “Optimal Cost Prediction in the Vehicle Routing Problem Through Supervised Learning.” 2018. Web. 23 Jan 2021.

Vancouver:

Bellan D(. Optimal Cost Prediction in the Vehicle Routing Problem Through Supervised Learning. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Jan 23]. Available from: http://resolver.tudelft.nl/uuid:4461e3dd-0ba3-4d18-a9dc-88c31b43a36f.

Council of Science Editors:

Bellan D(. Optimal Cost Prediction in the Vehicle Routing Problem Through Supervised Learning. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:4461e3dd-0ba3-4d18-a9dc-88c31b43a36f


Delft University of Technology

2. van der Zee, Menno (author). Route Optimisation For Mobility-On-Demand Systems With Ride-Sharing.

Degree: 2018, Delft University of Technology

 Privately owned cars are an unsustainable mode of transportation, especially in cities. New Mobility on Demand (MoD) services should offer a convenient and sustainable alternative… (more)

Subjects/Keywords: optimisation; routing; mobility-on-demand; ride-sharing; ride-sourcing; mobility; transport; optimization; Integer Linear Programming problem; ILP; Mixed integer linear programming; MILP

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APA (6th Edition):

van der Zee, M. (. (2018). Route Optimisation For Mobility-On-Demand Systems With Ride-Sharing. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:da43fc88-c219-446b-999d-24cd0e830a93

Chicago Manual of Style (16th Edition):

van der Zee, Menno (author). “Route Optimisation For Mobility-On-Demand Systems With Ride-Sharing.” 2018. Masters Thesis, Delft University of Technology. Accessed January 23, 2021. http://resolver.tudelft.nl/uuid:da43fc88-c219-446b-999d-24cd0e830a93.

MLA Handbook (7th Edition):

van der Zee, Menno (author). “Route Optimisation For Mobility-On-Demand Systems With Ride-Sharing.” 2018. Web. 23 Jan 2021.

Vancouver:

van der Zee M(. Route Optimisation For Mobility-On-Demand Systems With Ride-Sharing. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Jan 23]. Available from: http://resolver.tudelft.nl/uuid:da43fc88-c219-446b-999d-24cd0e830a93.

Council of Science Editors:

van der Zee M(. Route Optimisation For Mobility-On-Demand Systems With Ride-Sharing. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:da43fc88-c219-446b-999d-24cd0e830a93


Delft University of Technology

3. Durrant, Robert (author). High-Level Command Mapping for Multi-Robot Aerial Cinematography.

Degree: 2018, Delft University of Technology

Aerial cinematography has seen an increased use of Unmanned Aerial Vehicle (UAV) due to technological advancements and commercialisation in recent years. The operation of such… (more)

Subjects/Keywords: Aerial Cinematography; MPC; Command Mapping

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APA (6th Edition):

Durrant, R. (. (2018). High-Level Command Mapping for Multi-Robot Aerial Cinematography. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:a8ca315c-93b4-4b6c-83fd-f587f5aed34c

Chicago Manual of Style (16th Edition):

Durrant, Robert (author). “High-Level Command Mapping for Multi-Robot Aerial Cinematography.” 2018. Masters Thesis, Delft University of Technology. Accessed January 23, 2021. http://resolver.tudelft.nl/uuid:a8ca315c-93b4-4b6c-83fd-f587f5aed34c.

MLA Handbook (7th Edition):

Durrant, Robert (author). “High-Level Command Mapping for Multi-Robot Aerial Cinematography.” 2018. Web. 23 Jan 2021.

Vancouver:

Durrant R(. High-Level Command Mapping for Multi-Robot Aerial Cinematography. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Jan 23]. Available from: http://resolver.tudelft.nl/uuid:a8ca315c-93b4-4b6c-83fd-f587f5aed34c.

Council of Science Editors:

Durrant R(. High-Level Command Mapping for Multi-Robot Aerial Cinematography. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:a8ca315c-93b4-4b6c-83fd-f587f5aed34c


Delft University of Technology

4. Krishnakumar, Ajinkya (author). Path Planning in Heterogenous Environments: A Combined Approach.

Degree: 2019, Delft University of Technology

Autonomous vehicles are the inevitable future of the industry as theoretically they guarantee higher road throughput and a much safer means of transport compared to… (more)

Subjects/Keywords: Motion Planning; Autonomous driving; Algorithm

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APA (6th Edition):

Krishnakumar, A. (. (2019). Path Planning in Heterogenous Environments: A Combined Approach. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:ad17bc2e-3745-4bb2-8f34-fca58d8c69c3

Chicago Manual of Style (16th Edition):

Krishnakumar, Ajinkya (author). “Path Planning in Heterogenous Environments: A Combined Approach.” 2019. Masters Thesis, Delft University of Technology. Accessed January 23, 2021. http://resolver.tudelft.nl/uuid:ad17bc2e-3745-4bb2-8f34-fca58d8c69c3.

MLA Handbook (7th Edition):

Krishnakumar, Ajinkya (author). “Path Planning in Heterogenous Environments: A Combined Approach.” 2019. Web. 23 Jan 2021.

Vancouver:

Krishnakumar A(. Path Planning in Heterogenous Environments: A Combined Approach. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2021 Jan 23]. Available from: http://resolver.tudelft.nl/uuid:ad17bc2e-3745-4bb2-8f34-fca58d8c69c3.

Council of Science Editors:

Krishnakumar A(. Path Planning in Heterogenous Environments: A Combined Approach. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:ad17bc2e-3745-4bb2-8f34-fca58d8c69c3


Delft University of Technology

5. Zhou, Bingyu (author). Probabilistic Motion Planning in Uncertain and Dynamic Environments.

Degree: 2017, Delft University of Technology

Autonomous driving is one of the popular and advanced research fields aiming to reduce the mortality rate and improve the welfare and efficiency of commuters'… (more)

Subjects/Keywords: Motion planning; Trajectory generation; Interaction; MPC; POMDP

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APA (6th Edition):

Zhou, B. (. (2017). Probabilistic Motion Planning in Uncertain and Dynamic Environments. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:f491f7d8-a2f5-4f89-b4b7-86ac6b64546b

Chicago Manual of Style (16th Edition):

Zhou, Bingyu (author). “Probabilistic Motion Planning in Uncertain and Dynamic Environments.” 2017. Masters Thesis, Delft University of Technology. Accessed January 23, 2021. http://resolver.tudelft.nl/uuid:f491f7d8-a2f5-4f89-b4b7-86ac6b64546b.

MLA Handbook (7th Edition):

Zhou, Bingyu (author). “Probabilistic Motion Planning in Uncertain and Dynamic Environments.” 2017. Web. 23 Jan 2021.

Vancouver:

Zhou B(. Probabilistic Motion Planning in Uncertain and Dynamic Environments. [Internet] [Masters thesis]. Delft University of Technology; 2017. [cited 2021 Jan 23]. Available from: http://resolver.tudelft.nl/uuid:f491f7d8-a2f5-4f89-b4b7-86ac6b64546b.

Council of Science Editors:

Zhou B(. Probabilistic Motion Planning in Uncertain and Dynamic Environments. [Masters Thesis]. Delft University of Technology; 2017. Available from: http://resolver.tudelft.nl/uuid:f491f7d8-a2f5-4f89-b4b7-86ac6b64546b


Delft University of Technology

6. Adrichem, Daley (author). Navigation and collision avoidance for autonomous boats in crowded canals.

Degree: 2018, Delft University of Technology

The last few years, automation and autonomous vehicles has been one of the main research topics for control engineers. This field ranges from autonomous cars… (more)

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APA (6th Edition):

Adrichem, D. (. (2018). Navigation and collision avoidance for autonomous boats in crowded canals. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:276388dd-3b93-46f1-a17f-3b7fe3f40700

Chicago Manual of Style (16th Edition):

Adrichem, Daley (author). “Navigation and collision avoidance for autonomous boats in crowded canals.” 2018. Masters Thesis, Delft University of Technology. Accessed January 23, 2021. http://resolver.tudelft.nl/uuid:276388dd-3b93-46f1-a17f-3b7fe3f40700.

MLA Handbook (7th Edition):

Adrichem, Daley (author). “Navigation and collision avoidance for autonomous boats in crowded canals.” 2018. Web. 23 Jan 2021.

Vancouver:

Adrichem D(. Navigation and collision avoidance for autonomous boats in crowded canals. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Jan 23]. Available from: http://resolver.tudelft.nl/uuid:276388dd-3b93-46f1-a17f-3b7fe3f40700.

Council of Science Editors:

Adrichem D(. Navigation and collision avoidance for autonomous boats in crowded canals. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:276388dd-3b93-46f1-a17f-3b7fe3f40700


Delft University of Technology

7. Márquez Bonilla, Francisco Jose (author). Deep Learning applied to cooperative motion planning in environments shared with humans.

Degree: 2018, Delft University of Technology

 Autonomous navigation has become, in the last years, one of the main field of research for both transportation and robotic purposes, employing all kind of… (more)

Subjects/Keywords: Neural Networks; path prediction; cooperative planning

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APA (6th Edition):

Márquez Bonilla, F. J. (. (2018). Deep Learning applied to cooperative motion planning in environments shared with humans. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:8112ce02-754a-4d85-bb2f-b4521c905204

Chicago Manual of Style (16th Edition):

Márquez Bonilla, Francisco Jose (author). “Deep Learning applied to cooperative motion planning in environments shared with humans.” 2018. Masters Thesis, Delft University of Technology. Accessed January 23, 2021. http://resolver.tudelft.nl/uuid:8112ce02-754a-4d85-bb2f-b4521c905204.

MLA Handbook (7th Edition):

Márquez Bonilla, Francisco Jose (author). “Deep Learning applied to cooperative motion planning in environments shared with humans.” 2018. Web. 23 Jan 2021.

Vancouver:

Márquez Bonilla FJ(. Deep Learning applied to cooperative motion planning in environments shared with humans. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Jan 23]. Available from: http://resolver.tudelft.nl/uuid:8112ce02-754a-4d85-bb2f-b4521c905204.

Council of Science Editors:

Márquez Bonilla FJ(. Deep Learning applied to cooperative motion planning in environments shared with humans. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:8112ce02-754a-4d85-bb2f-b4521c905204


Delft University of Technology

8. van Weperen, Marijke (author). Human-like overtaking maneuvers using Inverse Optimal Control.

Degree: 2019, Delft University of Technology

In recent years, rapid progress has been made towards automated highway driving. To increase comfort and trust in these automated cars, their motion planners, such… (more)

Subjects/Keywords: Inverse Optimal Control; Overtaking; Human-like driving

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APA (6th Edition):

van Weperen, M. (. (2019). Human-like overtaking maneuvers using Inverse Optimal Control. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:ac18235e-6ef1-4ca0-bf37-dd70b12bc252

Chicago Manual of Style (16th Edition):

van Weperen, Marijke (author). “Human-like overtaking maneuvers using Inverse Optimal Control.” 2019. Masters Thesis, Delft University of Technology. Accessed January 23, 2021. http://resolver.tudelft.nl/uuid:ac18235e-6ef1-4ca0-bf37-dd70b12bc252.

MLA Handbook (7th Edition):

van Weperen, Marijke (author). “Human-like overtaking maneuvers using Inverse Optimal Control.” 2019. Web. 23 Jan 2021.

Vancouver:

van Weperen M(. Human-like overtaking maneuvers using Inverse Optimal Control. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2021 Jan 23]. Available from: http://resolver.tudelft.nl/uuid:ac18235e-6ef1-4ca0-bf37-dd70b12bc252.

Council of Science Editors:

van Weperen M(. Human-like overtaking maneuvers using Inverse Optimal Control. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:ac18235e-6ef1-4ca0-bf37-dd70b12bc252


Delft University of Technology

9. van den Berg, Berend (author). Curvature Aware Motion Planning with Closed-Loop Rapidly-exploring Random Trees: Towards a generic motion planning algorithm.

Degree: 2020, Delft University of Technology

Last decades the autonomous driving research field has shown exponential growth. The social benefits, which include increased safety, mobility and productivity, are the main factor… (more)

Subjects/Keywords: Intelligent Vehicles; Autonomous Vehicles; Motion Planning; RRT; Closed-Loop; Road curvature; Frénet Frame

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APA (6th Edition):

van den Berg, B. (. (2020). Curvature Aware Motion Planning with Closed-Loop Rapidly-exploring Random Trees: Towards a generic motion planning algorithm. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:d24b1082-8d07-492d-838f-4cc979528c33

Chicago Manual of Style (16th Edition):

van den Berg, Berend (author). “Curvature Aware Motion Planning with Closed-Loop Rapidly-exploring Random Trees: Towards a generic motion planning algorithm.” 2020. Masters Thesis, Delft University of Technology. Accessed January 23, 2021. http://resolver.tudelft.nl/uuid:d24b1082-8d07-492d-838f-4cc979528c33.

MLA Handbook (7th Edition):

van den Berg, Berend (author). “Curvature Aware Motion Planning with Closed-Loop Rapidly-exploring Random Trees: Towards a generic motion planning algorithm.” 2020. Web. 23 Jan 2021.

Vancouver:

van den Berg B(. Curvature Aware Motion Planning with Closed-Loop Rapidly-exploring Random Trees: Towards a generic motion planning algorithm. [Internet] [Masters thesis]. Delft University of Technology; 2020. [cited 2021 Jan 23]. Available from: http://resolver.tudelft.nl/uuid:d24b1082-8d07-492d-838f-4cc979528c33.

Council of Science Editors:

van den Berg B(. Curvature Aware Motion Planning with Closed-Loop Rapidly-exploring Random Trees: Towards a generic motion planning algorithm. [Masters Thesis]. Delft University of Technology; 2020. Available from: http://resolver.tudelft.nl/uuid:d24b1082-8d07-492d-838f-4cc979528c33


Delft University of Technology

10. Agarwal, Achin (author). Safe Navigation in Dense Traffic Scenarios using Reinforcement Learning as Global Guidance for a Model Predictive Controller.

Degree: 2020, Delft University of Technology

The successful integration of autonomous vehicles (AVs) in human environments is highly dependent on their ability to navigate safely and timely through dense traffic conditions.… (more)

Subjects/Keywords: Safe Navigation; Motion Planning; Deep Reinforcement Learning; Optimal Control

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APA (6th Edition):

Agarwal, A. (. (2020). Safe Navigation in Dense Traffic Scenarios using Reinforcement Learning as Global Guidance for a Model Predictive Controller. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:a18ae4f2-788e-4b49-af0a-4c4d3a964c97

Chicago Manual of Style (16th Edition):

Agarwal, Achin (author). “Safe Navigation in Dense Traffic Scenarios using Reinforcement Learning as Global Guidance for a Model Predictive Controller.” 2020. Masters Thesis, Delft University of Technology. Accessed January 23, 2021. http://resolver.tudelft.nl/uuid:a18ae4f2-788e-4b49-af0a-4c4d3a964c97.

MLA Handbook (7th Edition):

Agarwal, Achin (author). “Safe Navigation in Dense Traffic Scenarios using Reinforcement Learning as Global Guidance for a Model Predictive Controller.” 2020. Web. 23 Jan 2021.

Vancouver:

Agarwal A(. Safe Navigation in Dense Traffic Scenarios using Reinforcement Learning as Global Guidance for a Model Predictive Controller. [Internet] [Masters thesis]. Delft University of Technology; 2020. [cited 2021 Jan 23]. Available from: http://resolver.tudelft.nl/uuid:a18ae4f2-788e-4b49-af0a-4c4d3a964c97.

Council of Science Editors:

Agarwal A(. Safe Navigation in Dense Traffic Scenarios using Reinforcement Learning as Global Guidance for a Model Predictive Controller. [Masters Thesis]. Delft University of Technology; 2020. Available from: http://resolver.tudelft.nl/uuid:a18ae4f2-788e-4b49-af0a-4c4d3a964c97


Delft University of Technology

11. de Jong, Joost (author). Model-based Flight Control for a VTOL Aircraft with Independently Tilting Rotors.

Degree: 2019, Delft University of Technology

This thesis reports on the research and design of a real-time Time-Varying Model Predictive Control (TVMPC) scheme to stabilize a tilt-rotor aircraft with four independently… (more)

Subjects/Keywords: Flight Control Systems; Model Predictive Control; Time-varying; rotor tilt; rotor tilting; ROS; Linux; Model based; vertical takeoff and landing; hardware in the loop; hardware-in-the-loop test; Real-time; GUI; Arduino; Adaptive control

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APA (6th Edition):

de Jong, J. (. (2019). Model-based Flight Control for a VTOL Aircraft with Independently Tilting Rotors. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:f1a9ad16-0088-422f-b6a0-9cf725590cdc

Chicago Manual of Style (16th Edition):

de Jong, Joost (author). “Model-based Flight Control for a VTOL Aircraft with Independently Tilting Rotors.” 2019. Masters Thesis, Delft University of Technology. Accessed January 23, 2021. http://resolver.tudelft.nl/uuid:f1a9ad16-0088-422f-b6a0-9cf725590cdc.

MLA Handbook (7th Edition):

de Jong, Joost (author). “Model-based Flight Control for a VTOL Aircraft with Independently Tilting Rotors.” 2019. Web. 23 Jan 2021.

Vancouver:

de Jong J(. Model-based Flight Control for a VTOL Aircraft with Independently Tilting Rotors. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2021 Jan 23]. Available from: http://resolver.tudelft.nl/uuid:f1a9ad16-0088-422f-b6a0-9cf725590cdc.

Council of Science Editors:

de Jong J(. Model-based Flight Control for a VTOL Aircraft with Independently Tilting Rotors. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:f1a9ad16-0088-422f-b6a0-9cf725590cdc


Delft University of Technology

12. 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

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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 23, 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. 23 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 23]. 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

13. Gupta, Sukrit (author). End-to-End Motion Planning: A Data Driven Approach for Mobile Robot Navigation.

Degree: 2020, Delft University of Technology

A lot research has been conducted in the field of autonomous navigation of mobile robots with focus on Robot Vision and Robot Motion Planning. However,… (more)

Subjects/Keywords: Mobile robot; Motion Planning; Deep learning; Reinforcement Learning

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APA (6th Edition):

Gupta, S. (. (2020). End-to-End Motion Planning: A Data Driven Approach for Mobile Robot Navigation. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:e09cb8a2-fe8a-4f7f-a2db-3756f2c61687

Chicago Manual of Style (16th Edition):

Gupta, Sukrit (author). “End-to-End Motion Planning: A Data Driven Approach for Mobile Robot Navigation.” 2020. Masters Thesis, Delft University of Technology. Accessed January 23, 2021. http://resolver.tudelft.nl/uuid:e09cb8a2-fe8a-4f7f-a2db-3756f2c61687.

MLA Handbook (7th Edition):

Gupta, Sukrit (author). “End-to-End Motion Planning: A Data Driven Approach for Mobile Robot Navigation.” 2020. Web. 23 Jan 2021.

Vancouver:

Gupta S(. End-to-End Motion Planning: A Data Driven Approach for Mobile Robot Navigation. [Internet] [Masters thesis]. Delft University of Technology; 2020. [cited 2021 Jan 23]. Available from: http://resolver.tudelft.nl/uuid:e09cb8a2-fe8a-4f7f-a2db-3756f2c61687.

Council of Science Editors:

Gupta S(. End-to-End Motion Planning: A Data Driven Approach for Mobile Robot Navigation. [Masters Thesis]. Delft University of Technology; 2020. Available from: http://resolver.tudelft.nl/uuid:e09cb8a2-fe8a-4f7f-a2db-3756f2c61687


Delft University of Technology

14. Resink, Tim (author). Vehicle motion prediction for autonomous driving: A deep learning model based on vehicle interaction and road geometry using a semantic map.

Degree: 2019, Delft University of Technology

 To be able to understand the dynamic driving environment, an autonomous vehicle needs to predict the mo- tion of other traffic participants in the driving… (more)

Subjects/Keywords: Autonomous driving; Motion prediction; Deep learning

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APA (6th Edition):

Resink, T. (. (2019). Vehicle motion prediction for autonomous driving: A deep learning model based on vehicle interaction and road geometry using a semantic map. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:bb469461-b879-40fd-abbc-1a6e0233bf1b

Chicago Manual of Style (16th Edition):

Resink, Tim (author). “Vehicle motion prediction for autonomous driving: A deep learning model based on vehicle interaction and road geometry using a semantic map.” 2019. Masters Thesis, Delft University of Technology. Accessed January 23, 2021. http://resolver.tudelft.nl/uuid:bb469461-b879-40fd-abbc-1a6e0233bf1b.

MLA Handbook (7th Edition):

Resink, Tim (author). “Vehicle motion prediction for autonomous driving: A deep learning model based on vehicle interaction and road geometry using a semantic map.” 2019. Web. 23 Jan 2021.

Vancouver:

Resink T(. Vehicle motion prediction for autonomous driving: A deep learning model based on vehicle interaction and road geometry using a semantic map. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2021 Jan 23]. Available from: http://resolver.tudelft.nl/uuid:bb469461-b879-40fd-abbc-1a6e0233bf1b.

Council of Science Editors:

Resink T(. Vehicle motion prediction for autonomous driving: A deep learning model based on vehicle interaction and road geometry using a semantic map. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:bb469461-b879-40fd-abbc-1a6e0233bf1b


Delft University of Technology

15. 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

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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 23, 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. 23 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 23]. 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

16. van den Bos, Pepijn (author). Decentralized cooperative manipulation and consensus through object sensing: Applied to the aerial towing problem.

Degree: 2018, Delft University of Technology

 With the decrease in sensor and actuator costs decentralized control strategies have become increasingly attractive, aiming to use multiple simpler robots for achieving a global… (more)

Subjects/Keywords: decentralized control; aerial towing; cooperative manipulation

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APA (6th Edition):

van den Bos, P. (. (2018). Decentralized cooperative manipulation and consensus through object sensing: Applied to the aerial towing problem. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:dab2f168-2e7f-4126-831d-50bf9c0409f6

Chicago Manual of Style (16th Edition):

van den Bos, Pepijn (author). “Decentralized cooperative manipulation and consensus through object sensing: Applied to the aerial towing problem.” 2018. Masters Thesis, Delft University of Technology. Accessed January 23, 2021. http://resolver.tudelft.nl/uuid:dab2f168-2e7f-4126-831d-50bf9c0409f6.

MLA Handbook (7th Edition):

van den Bos, Pepijn (author). “Decentralized cooperative manipulation and consensus through object sensing: Applied to the aerial towing problem.” 2018. Web. 23 Jan 2021.

Vancouver:

van den Bos P(. Decentralized cooperative manipulation and consensus through object sensing: Applied to the aerial towing problem. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Jan 23]. Available from: http://resolver.tudelft.nl/uuid:dab2f168-2e7f-4126-831d-50bf9c0409f6.

Council of Science Editors:

van den Bos P(. Decentralized cooperative manipulation and consensus through object sensing: Applied to the aerial towing problem. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:dab2f168-2e7f-4126-831d-50bf9c0409f6


Delft University of Technology

17. Vaandrager, Willem (author). A scalable approach to real-time taxi ridesharing.

Degree: 2018, Delft University of Technology

In an increasing urbanizing world the need for efficient transportation methods is growing. Ridesharing, sharing a taxi trip with multiple passengers, has been proposed as… (more)

Subjects/Keywords: Ridesharing; Route planning; Taxi; Clustering; Scalability

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APA (6th Edition):

Vaandrager, W. (. (2018). A scalable approach to real-time taxi ridesharing. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:9ff242b0-1dae-42d3-858d-3d906eb6d651

Chicago Manual of Style (16th Edition):

Vaandrager, Willem (author). “A scalable approach to real-time taxi ridesharing.” 2018. Masters Thesis, Delft University of Technology. Accessed January 23, 2021. http://resolver.tudelft.nl/uuid:9ff242b0-1dae-42d3-858d-3d906eb6d651.

MLA Handbook (7th Edition):

Vaandrager, Willem (author). “A scalable approach to real-time taxi ridesharing.” 2018. Web. 23 Jan 2021.

Vancouver:

Vaandrager W(. A scalable approach to real-time taxi ridesharing. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Jan 23]. Available from: http://resolver.tudelft.nl/uuid:9ff242b0-1dae-42d3-858d-3d906eb6d651.

Council of Science Editors:

Vaandrager W(. A scalable approach to real-time taxi ridesharing. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:9ff242b0-1dae-42d3-858d-3d906eb6d651


Delft University of Technology

18. Echaniz Soldevila, Ignasi (author). Car-Following Model using Machine Learning Techniques: Approach at Urban Signalized Intersections with Traffic Radar Detection.

Degree: 2017, Delft University of Technology

 This master thesis aims to gain new empirical insights into longitudinal driving behavior by means of the enumeration of a new hybrid car-following (CF) model… (more)

Subjects/Keywords: Car-Following models; Longitudinal driver behavior; Machine Learning; Gausssian Process Regression; Non-parametric models; Urban signalized intersections; Traffic light

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APA (6th Edition):

Echaniz Soldevila, I. (. (2017). Car-Following Model using Machine Learning Techniques: Approach at Urban Signalized Intersections with Traffic Radar Detection. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:6f864003-8f63-4be3-8837-77656ed620d0

Chicago Manual of Style (16th Edition):

Echaniz Soldevila, Ignasi (author). “Car-Following Model using Machine Learning Techniques: Approach at Urban Signalized Intersections with Traffic Radar Detection.” 2017. Masters Thesis, Delft University of Technology. Accessed January 23, 2021. http://resolver.tudelft.nl/uuid:6f864003-8f63-4be3-8837-77656ed620d0.

MLA Handbook (7th Edition):

Echaniz Soldevila, Ignasi (author). “Car-Following Model using Machine Learning Techniques: Approach at Urban Signalized Intersections with Traffic Radar Detection.” 2017. Web. 23 Jan 2021.

Vancouver:

Echaniz Soldevila I(. Car-Following Model using Machine Learning Techniques: Approach at Urban Signalized Intersections with Traffic Radar Detection. [Internet] [Masters thesis]. Delft University of Technology; 2017. [cited 2021 Jan 23]. Available from: http://resolver.tudelft.nl/uuid:6f864003-8f63-4be3-8837-77656ed620d0.

Council of Science Editors:

Echaniz Soldevila I(. Car-Following Model using Machine Learning Techniques: Approach at Urban Signalized Intersections with Traffic Radar Detection. [Masters Thesis]. Delft University of Technology; 2017. Available from: http://resolver.tudelft.nl/uuid:6f864003-8f63-4be3-8837-77656ed620d0


Delft University of Technology

19. De Ruijter, Arjan (author). Effect of behavioral and service attributes and distribution of demand on ride-sharing efficiency and level of service.

Degree: 2019, Delft University of Technology

Previous studies on ride-sharing potential have neglected that ride-sharing choice considers a trade-off of disbenefits with a financial reward. This study considers delays and psychological… (more)

Subjects/Keywords: Ride-sharing; Willingness to share; Delay tolerance; Demand distribution; Pricing mechanism; Heterogeneity

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APA (6th Edition):

De Ruijter, A. (. (2019). Effect of behavioral and service attributes and distribution of demand on ride-sharing efficiency and level of service. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:5a8bc3d2-fe0c-4eca-8f74-9288b7ae83eb

Chicago Manual of Style (16th Edition):

De Ruijter, Arjan (author). “Effect of behavioral and service attributes and distribution of demand on ride-sharing efficiency and level of service.” 2019. Masters Thesis, Delft University of Technology. Accessed January 23, 2021. http://resolver.tudelft.nl/uuid:5a8bc3d2-fe0c-4eca-8f74-9288b7ae83eb.

MLA Handbook (7th Edition):

De Ruijter, Arjan (author). “Effect of behavioral and service attributes and distribution of demand on ride-sharing efficiency and level of service.” 2019. Web. 23 Jan 2021.

Vancouver:

De Ruijter A(. Effect of behavioral and service attributes and distribution of demand on ride-sharing efficiency and level of service. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2021 Jan 23]. Available from: http://resolver.tudelft.nl/uuid:5a8bc3d2-fe0c-4eca-8f74-9288b7ae83eb.

Council of Science Editors:

De Ruijter A(. Effect of behavioral and service attributes and distribution of demand on ride-sharing efficiency and level of service. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:5a8bc3d2-fe0c-4eca-8f74-9288b7ae83eb


Delft University of Technology

20. Katsaounis, Georgios (author). Extended Object Tracking of Pedestrians in Automotive Applications.

Degree: 2019, Delft University of Technology

 Recent advances in sensor technology have lead to increased resolution of novel sensors, while tracking applications where distance between sensors and objects of interest is… (more)

Subjects/Keywords: Extended Object Tracking; Vulnurable Road Users; Pedestrians; Environmental Perception; Automotive Applications; Lidar sensor; Mono camera sensor; Sensor Fusion; Random Matrix Model; Elliptical shape; OpenPose library; Human Pose Detections; position measurement; heading angle measurement; Extended Kalman Filter; Kalman Filter

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APA (6th Edition):

Katsaounis, G. (. (2019). Extended Object Tracking of Pedestrians in Automotive Applications. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:d7226685-9ffe-417f-9939-2167a9dfd749

Chicago Manual of Style (16th Edition):

Katsaounis, Georgios (author). “Extended Object Tracking of Pedestrians in Automotive Applications.” 2019. Masters Thesis, Delft University of Technology. Accessed January 23, 2021. http://resolver.tudelft.nl/uuid:d7226685-9ffe-417f-9939-2167a9dfd749.

MLA Handbook (7th Edition):

Katsaounis, Georgios (author). “Extended Object Tracking of Pedestrians in Automotive Applications.” 2019. Web. 23 Jan 2021.

Vancouver:

Katsaounis G(. Extended Object Tracking of Pedestrians in Automotive Applications. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2021 Jan 23]. Available from: http://resolver.tudelft.nl/uuid:d7226685-9ffe-417f-9939-2167a9dfd749.

Council of Science Editors:

Katsaounis G(. Extended Object Tracking of Pedestrians in Automotive Applications. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:d7226685-9ffe-417f-9939-2167a9dfd749


Delft University of Technology

21. Konstantinidis, Kostas (author). Development of a Detection and Tracking of Moving Vehicles system for 2D LIDAR sensors.

Degree: 2020, Delft University of Technology

The main objective of this thesis was the development and evaluation of a Detection and Tracking of Moving Objects (DATMO) system, that is capable of… (more)

Subjects/Keywords: DATMO; LIDAR; ROS

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APA (6th Edition):

Konstantinidis, K. (. (2020). Development of a Detection and Tracking of Moving Vehicles system for 2D LIDAR sensors. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:103fe186-925e-46f7-8275-d746e7c47600

Chicago Manual of Style (16th Edition):

Konstantinidis, Kostas (author). “Development of a Detection and Tracking of Moving Vehicles system for 2D LIDAR sensors.” 2020. Masters Thesis, Delft University of Technology. Accessed January 23, 2021. http://resolver.tudelft.nl/uuid:103fe186-925e-46f7-8275-d746e7c47600.

MLA Handbook (7th Edition):

Konstantinidis, Kostas (author). “Development of a Detection and Tracking of Moving Vehicles system for 2D LIDAR sensors.” 2020. Web. 23 Jan 2021.

Vancouver:

Konstantinidis K(. Development of a Detection and Tracking of Moving Vehicles system for 2D LIDAR sensors. [Internet] [Masters thesis]. Delft University of Technology; 2020. [cited 2021 Jan 23]. Available from: http://resolver.tudelft.nl/uuid:103fe186-925e-46f7-8275-d746e7c47600.

Council of Science Editors:

Konstantinidis K(. Development of a Detection and Tracking of Moving Vehicles system for 2D LIDAR sensors. [Masters Thesis]. Delft University of Technology; 2020. Available from: http://resolver.tudelft.nl/uuid:103fe186-925e-46f7-8275-d746e7c47600


Delft University of Technology

22. Cumbal Guerron, Ronald (author). Socially-Aware Navigation: Guiding Behavior with Pepper.

Degree: 2017, Delft University of Technology

 Socially-aware robot navigation strives to find efficient methods to autonomously navigate known environments while incorporating social metrics derived from human behavior. Several methods built for… (more)

Subjects/Keywords: socially-aware; navigation; motion planning; robot guide; human robot interaction; Pepper

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APA (6th Edition):

Cumbal Guerron, R. (. (2017). Socially-Aware Navigation: Guiding Behavior with Pepper. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:3225628c-9b90-4ee8-b355-9401cd75ca13

Chicago Manual of Style (16th Edition):

Cumbal Guerron, Ronald (author). “Socially-Aware Navigation: Guiding Behavior with Pepper.” 2017. Masters Thesis, Delft University of Technology. Accessed January 23, 2021. http://resolver.tudelft.nl/uuid:3225628c-9b90-4ee8-b355-9401cd75ca13.

MLA Handbook (7th Edition):

Cumbal Guerron, Ronald (author). “Socially-Aware Navigation: Guiding Behavior with Pepper.” 2017. Web. 23 Jan 2021.

Vancouver:

Cumbal Guerron R(. Socially-Aware Navigation: Guiding Behavior with Pepper. [Internet] [Masters thesis]. Delft University of Technology; 2017. [cited 2021 Jan 23]. Available from: http://resolver.tudelft.nl/uuid:3225628c-9b90-4ee8-b355-9401cd75ca13.

Council of Science Editors:

Cumbal Guerron R(. Socially-Aware Navigation: Guiding Behavior with Pepper. [Masters Thesis]. Delft University of Technology; 2017. Available from: http://resolver.tudelft.nl/uuid:3225628c-9b90-4ee8-b355-9401cd75ca13


Delft University of Technology

23. Croll, Ewoud (author). Safe and natural navigation in dynamic environments, learned from human behavior.

Degree: 2020, Delft University of Technology

 Social Navigation is the task of robot motion planning in an environment shared with humans.This is an especially hard sub-problem of motion planning because the… (more)

Subjects/Keywords: Autonomous; Robot; Social; Navigation; Motion Planning; Neural Network; Deep Learning; Interaction; Model Predictive Control

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APA (6th Edition):

Croll, E. (. (2020). Safe and natural navigation in dynamic environments, learned from human behavior. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:3d50c5e1-1727-4999-978f-ff0b4a41c072

Chicago Manual of Style (16th Edition):

Croll, Ewoud (author). “Safe and natural navigation in dynamic environments, learned from human behavior.” 2020. Masters Thesis, Delft University of Technology. Accessed January 23, 2021. http://resolver.tudelft.nl/uuid:3d50c5e1-1727-4999-978f-ff0b4a41c072.

MLA Handbook (7th Edition):

Croll, Ewoud (author). “Safe and natural navigation in dynamic environments, learned from human behavior.” 2020. Web. 23 Jan 2021.

Vancouver:

Croll E(. Safe and natural navigation in dynamic environments, learned from human behavior. [Internet] [Masters thesis]. Delft University of Technology; 2020. [cited 2021 Jan 23]. Available from: http://resolver.tudelft.nl/uuid:3d50c5e1-1727-4999-978f-ff0b4a41c072.

Council of Science Editors:

Croll E(. Safe and natural navigation in dynamic environments, learned from human behavior. [Masters Thesis]. Delft University of Technology; 2020. Available from: http://resolver.tudelft.nl/uuid:3d50c5e1-1727-4999-978f-ff0b4a41c072


Delft University of Technology

24. Willems, Rick (author). Longitudinal Behavior Planning with Maneuver Prediction for Urban Driving.

Degree: 2018, Delft University of Technology

 One of the remaining challenges in the development of intelligent vehicles is the topic of behavior planning in urban scenarios. Based on perception of the… (more)

Subjects/Keywords: Behavior Planning; Decision Making; Model Predictive Control; Intelligent Vehicles; Autonomous driving

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APA (6th Edition):

Willems, R. (. (2018). Longitudinal Behavior Planning with Maneuver Prediction for Urban Driving. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:57f9a5f4-0608-42ca-b956-346afe5e4b7d

Chicago Manual of Style (16th Edition):

Willems, Rick (author). “Longitudinal Behavior Planning with Maneuver Prediction for Urban Driving.” 2018. Masters Thesis, Delft University of Technology. Accessed January 23, 2021. http://resolver.tudelft.nl/uuid:57f9a5f4-0608-42ca-b956-346afe5e4b7d.

MLA Handbook (7th Edition):

Willems, Rick (author). “Longitudinal Behavior Planning with Maneuver Prediction for Urban Driving.” 2018. Web. 23 Jan 2021.

Vancouver:

Willems R(. Longitudinal Behavior Planning with Maneuver Prediction for Urban Driving. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Jan 23]. Available from: http://resolver.tudelft.nl/uuid:57f9a5f4-0608-42ca-b956-346afe5e4b7d.

Council of Science Editors:

Willems R(. Longitudinal Behavior Planning with Maneuver Prediction for Urban Driving. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:57f9a5f4-0608-42ca-b956-346afe5e4b7d


Delft University of Technology

25. Abou Harfouch, Youssef (author). Adaptive strategies for platooning.

Degree: 2017, Delft University of Technology

 Automated driving, one of the rapidly growing research topics in the field of smart traffic, has proved to be a recognized solution for potentially improving… (more)

Subjects/Keywords: Heterogeneous platooning; Cooperative adaptive cruise control; Adaptive control; Switched control

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APA (6th Edition):

Abou Harfouch, Y. (. (2017). Adaptive strategies for platooning. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:69cbd634-f2af-4856-9fca-8f92b56fab20

Chicago Manual of Style (16th Edition):

Abou Harfouch, Youssef (author). “Adaptive strategies for platooning.” 2017. Masters Thesis, Delft University of Technology. Accessed January 23, 2021. http://resolver.tudelft.nl/uuid:69cbd634-f2af-4856-9fca-8f92b56fab20.

MLA Handbook (7th Edition):

Abou Harfouch, Youssef (author). “Adaptive strategies for platooning.” 2017. Web. 23 Jan 2021.

Vancouver:

Abou Harfouch Y(. Adaptive strategies for platooning. [Internet] [Masters thesis]. Delft University of Technology; 2017. [cited 2021 Jan 23]. Available from: http://resolver.tudelft.nl/uuid:69cbd634-f2af-4856-9fca-8f92b56fab20.

Council of Science Editors:

Abou Harfouch Y(. Adaptive strategies for platooning. [Masters Thesis]. Delft University of Technology; 2017. Available from: http://resolver.tudelft.nl/uuid:69cbd634-f2af-4856-9fca-8f92b56fab20


Delft University of Technology

26. Floor, Boaz (author). Trajectory Optimization for Autonomous Navigation in Dynamic Environments.

Degree: 2018, Delft University of Technology

Motion planning for Autonomous Ground Vehicles (AGVs) in dynamic environments is an extensively studied and complex problem. State of the art methods provide approximate solutions… (more)

Subjects/Keywords: Trajectory Optimization; Collision Avoidance; Nonholonomic Motion Planning; Motion Control

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APA (6th Edition):

Floor, B. (. (2018). Trajectory Optimization for Autonomous Navigation in Dynamic Environments. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:370269a1-741e-4c4b-b7e6-b6dc8eef9973

Chicago Manual of Style (16th Edition):

Floor, Boaz (author). “Trajectory Optimization for Autonomous Navigation in Dynamic Environments.” 2018. Masters Thesis, Delft University of Technology. Accessed January 23, 2021. http://resolver.tudelft.nl/uuid:370269a1-741e-4c4b-b7e6-b6dc8eef9973.

MLA Handbook (7th Edition):

Floor, Boaz (author). “Trajectory Optimization for Autonomous Navigation in Dynamic Environments.” 2018. Web. 23 Jan 2021.

Vancouver:

Floor B(. Trajectory Optimization for Autonomous Navigation in Dynamic Environments. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Jan 23]. Available from: http://resolver.tudelft.nl/uuid:370269a1-741e-4c4b-b7e6-b6dc8eef9973.

Council of Science Editors:

Floor B(. Trajectory Optimization for Autonomous Navigation in Dynamic Environments. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:370269a1-741e-4c4b-b7e6-b6dc8eef9973


Delft University of Technology

27. Juhl, Jelle (author). Splitting and Merging of Quadrotor Teams Flying in Formation.

Degree: 2017, Delft University of Technology

 Quadrotor UAV's have become extremely popular over the last decade, as they combine great agility with mechanic simplicity. For tasks such as area surveillance or… (more)

Subjects/Keywords: Formation Control; Splitting of Formations; Merging of Formations; Quadrotor UAVs; Dynamic Environment

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APA (6th Edition):

Juhl, J. (. (2017). Splitting and Merging of Quadrotor Teams Flying in Formation. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:28f6e1e1-a0f5-41dc-ba15-c36627ad2dcd

Chicago Manual of Style (16th Edition):

Juhl, Jelle (author). “Splitting and Merging of Quadrotor Teams Flying in Formation.” 2017. Masters Thesis, Delft University of Technology. Accessed January 23, 2021. http://resolver.tudelft.nl/uuid:28f6e1e1-a0f5-41dc-ba15-c36627ad2dcd.

MLA Handbook (7th Edition):

Juhl, Jelle (author). “Splitting and Merging of Quadrotor Teams Flying in Formation.” 2017. Web. 23 Jan 2021.

Vancouver:

Juhl J(. Splitting and Merging of Quadrotor Teams Flying in Formation. [Internet] [Masters thesis]. Delft University of Technology; 2017. [cited 2021 Jan 23]. Available from: http://resolver.tudelft.nl/uuid:28f6e1e1-a0f5-41dc-ba15-c36627ad2dcd.

Council of Science Editors:

Juhl J(. Splitting and Merging of Quadrotor Teams Flying in Formation. [Masters Thesis]. Delft University of Technology; 2017. Available from: http://resolver.tudelft.nl/uuid:28f6e1e1-a0f5-41dc-ba15-c36627ad2dcd


Delft University of Technology

28. Moring, Stefan (author). Kinodynamic Steering using Supervised Learning in RRT.

Degree: 2018, Delft University of Technology

With the need for robots to operate autonomously increasing more and more, the research field of motion planning is becoming more active. Usually planning is… (more)

Subjects/Keywords: Motion Planning; RRT; Kinodynamic; Supervised Learning

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APA (6th Edition):

Moring, S. (. (2018). Kinodynamic Steering using Supervised Learning in RRT. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:fdf13674-f2b5-4b4a-b03d-21299114642a

Chicago Manual of Style (16th Edition):

Moring, Stefan (author). “Kinodynamic Steering using Supervised Learning in RRT.” 2018. Masters Thesis, Delft University of Technology. Accessed January 23, 2021. http://resolver.tudelft.nl/uuid:fdf13674-f2b5-4b4a-b03d-21299114642a.

MLA Handbook (7th Edition):

Moring, Stefan (author). “Kinodynamic Steering using Supervised Learning in RRT.” 2018. Web. 23 Jan 2021.

Vancouver:

Moring S(. Kinodynamic Steering using Supervised Learning in RRT. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Jan 23]. Available from: http://resolver.tudelft.nl/uuid:fdf13674-f2b5-4b4a-b03d-21299114642a.

Council of Science Editors:

Moring S(. Kinodynamic Steering using Supervised Learning in RRT. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:fdf13674-f2b5-4b4a-b03d-21299114642a


Delft University of Technology

29. van Hofslot, Boris (author). Humanoid Robot Balance Control using Center of Mass Height Variation.

Degree: 2019, Delft University of Technology

This research considers using center of mass (CoM) height variation as an input for balance control on a humanoid robot. Traditional balance strategies for humanoid… (more)

Subjects/Keywords: Humanoid; Robot; Capture; Capturability; Push; Inverted; Pendulum; Recovery; Variable; Legged; Balance

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

APA (6th Edition):

van Hofslot, B. (. (2019). Humanoid Robot Balance Control using Center of Mass Height Variation. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:78f5a5cc-ab91-4759-babc-181a6b43a496

Chicago Manual of Style (16th Edition):

van Hofslot, Boris (author). “Humanoid Robot Balance Control using Center of Mass Height Variation.” 2019. Masters Thesis, Delft University of Technology. Accessed January 23, 2021. http://resolver.tudelft.nl/uuid:78f5a5cc-ab91-4759-babc-181a6b43a496.

MLA Handbook (7th Edition):

van Hofslot, Boris (author). “Humanoid Robot Balance Control using Center of Mass Height Variation.” 2019. Web. 23 Jan 2021.

Vancouver:

van Hofslot B(. Humanoid Robot Balance Control using Center of Mass Height Variation. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2021 Jan 23]. Available from: http://resolver.tudelft.nl/uuid:78f5a5cc-ab91-4759-babc-181a6b43a496.

Council of Science Editors:

van Hofslot B(. Humanoid Robot Balance Control using Center of Mass Height Variation. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:78f5a5cc-ab91-4759-babc-181a6b43a496


Delft University of Technology

30. Durieux, Bram (author). Robotic swarm control through artificial pheromone trails: The case of curious ants.

Degree: 2019, Delft University of Technology

The extraordinary capability of swarming ant species in route finding and foraging efficiency through trail trail development has been studied for many years. Scientists have… (more)

Subjects/Keywords: swarm robotics; stigmergy; control

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

APA (6th Edition):

Durieux, B. (. (2019). Robotic swarm control through artificial pheromone trails: The case of curious ants. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:8ba2f5dc-daf8-4171-93ee-afb11a39a549

Chicago Manual of Style (16th Edition):

Durieux, Bram (author). “Robotic swarm control through artificial pheromone trails: The case of curious ants.” 2019. Masters Thesis, Delft University of Technology. Accessed January 23, 2021. http://resolver.tudelft.nl/uuid:8ba2f5dc-daf8-4171-93ee-afb11a39a549.

MLA Handbook (7th Edition):

Durieux, Bram (author). “Robotic swarm control through artificial pheromone trails: The case of curious ants.” 2019. Web. 23 Jan 2021.

Vancouver:

Durieux B(. Robotic swarm control through artificial pheromone trails: The case of curious ants. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2021 Jan 23]. Available from: http://resolver.tudelft.nl/uuid:8ba2f5dc-daf8-4171-93ee-afb11a39a549.

Council of Science Editors:

Durieux B(. Robotic swarm control through artificial pheromone trails: The case of curious ants. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:8ba2f5dc-daf8-4171-93ee-afb11a39a549

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