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You searched for +publisher:"Delft University of Technology" +contributor:("Gaisser, Floris"). Showing records 1 – 5 of 5 total matches.

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Delft University of Technology

1. Chawla, Hemang (author). Robot Placement for Mobile Manipulation in Domestic Environments.

Degree: 2017, Delft University of Technology

The development of domestic mobile manipulators for unconstrained environments has driven significant research recently. Robot Care Systems has been pioneering in developing a prototype of… (more)

Subjects/Keywords: Mobile Manipulation; Robot; Robot Placement; Vision; Domestic Environments; Commutation Configuration; Robotics; Base Placement; Reachability; Workspace Analysis; Optimization; Planability; Algorithm

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

APA (6th Edition):

Chawla, H. (. (2017). Robot Placement for Mobile Manipulation in Domestic Environments. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:e095b2be-c497-4de4-a55b-25126e960dbe

Chicago Manual of Style (16th Edition):

Chawla, Hemang (author). “Robot Placement for Mobile Manipulation in Domestic Environments.” 2017. Masters Thesis, Delft University of Technology. Accessed November 27, 2020. http://resolver.tudelft.nl/uuid:e095b2be-c497-4de4-a55b-25126e960dbe.

MLA Handbook (7th Edition):

Chawla, Hemang (author). “Robot Placement for Mobile Manipulation in Domestic Environments.” 2017. Web. 27 Nov 2020.

Vancouver:

Chawla H(. Robot Placement for Mobile Manipulation in Domestic Environments. [Internet] [Masters thesis]. Delft University of Technology; 2017. [cited 2020 Nov 27]. Available from: http://resolver.tudelft.nl/uuid:e095b2be-c497-4de4-a55b-25126e960dbe.

Council of Science Editors:

Chawla H(. Robot Placement for Mobile Manipulation in Domestic Environments. [Masters Thesis]. Delft University of Technology; 2017. Available from: http://resolver.tudelft.nl/uuid:e095b2be-c497-4de4-a55b-25126e960dbe


Delft University of Technology

2. Zijlmans, Jeroen (author). Improving Monocular SLAM: using Depth Estimating CNN.

Degree: 2018, Delft University of Technology

 To bring down the number of traffic accidents and increase people’s mobility companies, such as Robot Engineering Systems (RES) try to put automated vehicles on… (more)

Subjects/Keywords: monocular SLAM; Depth-estimating CNN; ORB-SLAM

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

APA (6th Edition):

Zijlmans, J. (. (2018). Improving Monocular SLAM: using Depth Estimating CNN. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:af8aad54-e594-4cfe-a2ef-a3b3f302a4d5

Chicago Manual of Style (16th Edition):

Zijlmans, Jeroen (author). “Improving Monocular SLAM: using Depth Estimating CNN.” 2018. Masters Thesis, Delft University of Technology. Accessed November 27, 2020. http://resolver.tudelft.nl/uuid:af8aad54-e594-4cfe-a2ef-a3b3f302a4d5.

MLA Handbook (7th Edition):

Zijlmans, Jeroen (author). “Improving Monocular SLAM: using Depth Estimating CNN.” 2018. Web. 27 Nov 2020.

Vancouver:

Zijlmans J(. Improving Monocular SLAM: using Depth Estimating CNN. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2020 Nov 27]. Available from: http://resolver.tudelft.nl/uuid:af8aad54-e594-4cfe-a2ef-a3b3f302a4d5.

Council of Science Editors:

Zijlmans J(. Improving Monocular SLAM: using Depth Estimating CNN. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:af8aad54-e594-4cfe-a2ef-a3b3f302a4d5


Delft University of Technology

3. Raipuria, Geetank (author). Vehicle Trajectory Prediction Using Road Structure.

Degree: 2017, Delft University of Technology

 An autonomous vehicle should be able to operate amidst numerous other human-driven vehicles, each driving on its own trajectory. To safely navigate in such a… (more)

Subjects/Keywords: Trajectory Prediction; Road Structure; Context; Long-term; Recurrent Neural Network; Interactive Multiple Model Filter; Path Planning; Automated driving

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

APA (6th Edition):

Raipuria, G. (. (2017). Vehicle Trajectory Prediction Using Road Structure. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:6cae1b47-f44e-4b74-8bfd-9098ce843e68

Chicago Manual of Style (16th Edition):

Raipuria, Geetank (author). “Vehicle Trajectory Prediction Using Road Structure.” 2017. Masters Thesis, Delft University of Technology. Accessed November 27, 2020. http://resolver.tudelft.nl/uuid:6cae1b47-f44e-4b74-8bfd-9098ce843e68.

MLA Handbook (7th Edition):

Raipuria, Geetank (author). “Vehicle Trajectory Prediction Using Road Structure.” 2017. Web. 27 Nov 2020.

Vancouver:

Raipuria G(. Vehicle Trajectory Prediction Using Road Structure. [Internet] [Masters thesis]. Delft University of Technology; 2017. [cited 2020 Nov 27]. Available from: http://resolver.tudelft.nl/uuid:6cae1b47-f44e-4b74-8bfd-9098ce843e68.

Council of Science Editors:

Raipuria G(. Vehicle Trajectory Prediction Using Road Structure. [Masters Thesis]. Delft University of Technology; 2017. Available from: http://resolver.tudelft.nl/uuid:6cae1b47-f44e-4b74-8bfd-9098ce843e68


Delft University of Technology

4. Bormans, Robbert (author). Deep segmentation of the drivable path of a self-driving vehicle using external data: Influence of domain shift factors and depth information.

Degree: 2018, Delft University of Technology

 Robot Care Systems (RCS) is involved in the development of the WEpod, an autonomous shuttle which can transfer up to six people. Based on a… (more)

Subjects/Keywords: Drivable Path; Domain Adaptation; Convolutional Neural Networks; Top View Transformation; Self-driving car

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

APA (6th Edition):

Bormans, R. (. (2018). Deep segmentation of the drivable path of a self-driving vehicle using external data: Influence of domain shift factors and depth information. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:f3a713cc-f4f8-4e54-a8cb-136ce18ef849

Chicago Manual of Style (16th Edition):

Bormans, Robbert (author). “Deep segmentation of the drivable path of a self-driving vehicle using external data: Influence of domain shift factors and depth information.” 2018. Masters Thesis, Delft University of Technology. Accessed November 27, 2020. http://resolver.tudelft.nl/uuid:f3a713cc-f4f8-4e54-a8cb-136ce18ef849.

MLA Handbook (7th Edition):

Bormans, Robbert (author). “Deep segmentation of the drivable path of a self-driving vehicle using external data: Influence of domain shift factors and depth information.” 2018. Web. 27 Nov 2020.

Vancouver:

Bormans R(. Deep segmentation of the drivable path of a self-driving vehicle using external data: Influence of domain shift factors and depth information. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2020 Nov 27]. Available from: http://resolver.tudelft.nl/uuid:f3a713cc-f4f8-4e54-a8cb-136ce18ef849.

Council of Science Editors:

Bormans R(. Deep segmentation of the drivable path of a self-driving vehicle using external data: Influence of domain shift factors and depth information. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:f3a713cc-f4f8-4e54-a8cb-136ce18ef849


Delft University of Technology

5. Kossen, Rebecca (author). Fault Diagnosis of Self-Localization in Autonomous Vehicles Using a Model-Based Approach: The WEpods Case.

Degree: 2019, Delft University of Technology

 Autonomous driving is a development that has gained a lot of attention lately, because it can lead to major improvements in the mobility sector. One… (more)

Subjects/Keywords: Autonomous Vehicles; Fault Detection; Localization; model-based

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

APA (6th Edition):

Kossen, R. (. (2019). Fault Diagnosis of Self-Localization in Autonomous Vehicles Using a Model-Based Approach: The WEpods Case. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:b97942a0-61c3-4ce4-b961-8121230cba17

Chicago Manual of Style (16th Edition):

Kossen, Rebecca (author). “Fault Diagnosis of Self-Localization in Autonomous Vehicles Using a Model-Based Approach: The WEpods Case.” 2019. Masters Thesis, Delft University of Technology. Accessed November 27, 2020. http://resolver.tudelft.nl/uuid:b97942a0-61c3-4ce4-b961-8121230cba17.

MLA Handbook (7th Edition):

Kossen, Rebecca (author). “Fault Diagnosis of Self-Localization in Autonomous Vehicles Using a Model-Based Approach: The WEpods Case.” 2019. Web. 27 Nov 2020.

Vancouver:

Kossen R(. Fault Diagnosis of Self-Localization in Autonomous Vehicles Using a Model-Based Approach: The WEpods Case. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2020 Nov 27]. Available from: http://resolver.tudelft.nl/uuid:b97942a0-61c3-4ce4-b961-8121230cba17.

Council of Science Editors:

Kossen R(. Fault Diagnosis of Self-Localization in Autonomous Vehicles Using a Model-Based Approach: The WEpods Case. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:b97942a0-61c3-4ce4-b961-8121230cba17

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