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You searched for +publisher:"Delft University of Technology" +contributor:("Jonker, Pieter"). Showing records 1 – 13 of 13 total matches.

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Delft University of Technology

1. Guljelmović, Nikol (author). Task Parameter Inference in Human-Robot Interaction.

Degree: 2017, Delft University of Technology

Task-parameterized movement representation, as an approach for the generalization of demonstrations, is used to represent data from multiple local perspectives within the global reference frame,… (more)

Subjects/Keywords: Task-parameterized movement representation; Task parameter inference; human-robot interaction; Procrustes analysis

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APA (6th Edition):

Guljelmović, N. (. (2017). Task Parameter Inference in Human-Robot Interaction. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:059dc816-2edb-4d44-a841-cc4d58ecf802

Chicago Manual of Style (16th Edition):

Guljelmović, Nikol (author). “Task Parameter Inference in Human-Robot Interaction.” 2017. Masters Thesis, Delft University of Technology. Accessed November 29, 2020. http://resolver.tudelft.nl/uuid:059dc816-2edb-4d44-a841-cc4d58ecf802.

MLA Handbook (7th Edition):

Guljelmović, Nikol (author). “Task Parameter Inference in Human-Robot Interaction.” 2017. Web. 29 Nov 2020.

Vancouver:

Guljelmović N(. Task Parameter Inference in Human-Robot Interaction. [Internet] [Masters thesis]. Delft University of Technology; 2017. [cited 2020 Nov 29]. Available from: http://resolver.tudelft.nl/uuid:059dc816-2edb-4d44-a841-cc4d58ecf802.

Council of Science Editors:

Guljelmović N(. Task Parameter Inference in Human-Robot Interaction. [Masters Thesis]. Delft University of Technology; 2017. Available from: http://resolver.tudelft.nl/uuid:059dc816-2edb-4d44-a841-cc4d58ecf802


Delft University of Technology

2. Bollini, Valentina (author). Automatic data collection for facial expression recognition.

Degree: 2018, Delft University of Technology

 Facial expression recognition today is a widely-researched topic with some pertinent applications in human-computer interaction (HCI), surveillance, etc. The diverse range of expressions makes data… (more)

Subjects/Keywords: data collection; facial expression

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APA (6th Edition):

Bollini, V. (. (2018). Automatic data collection for facial expression recognition. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:1335643e-6202-4a8c-bd51-9f7657a3611e

Chicago Manual of Style (16th Edition):

Bollini, Valentina (author). “Automatic data collection for facial expression recognition.” 2018. Masters Thesis, Delft University of Technology. Accessed November 29, 2020. http://resolver.tudelft.nl/uuid:1335643e-6202-4a8c-bd51-9f7657a3611e.

MLA Handbook (7th Edition):

Bollini, Valentina (author). “Automatic data collection for facial expression recognition.” 2018. Web. 29 Nov 2020.

Vancouver:

Bollini V(. Automatic data collection for facial expression recognition. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2020 Nov 29]. Available from: http://resolver.tudelft.nl/uuid:1335643e-6202-4a8c-bd51-9f7657a3611e.

Council of Science Editors:

Bollini V(. Automatic data collection for facial expression recognition. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:1335643e-6202-4a8c-bd51-9f7657a3611e


Delft University of Technology

3. Cherici, Teo (author). Robotic Auxiliary Losses for continuous reinforcement learning.

Degree: 2018, Delft University of Technology

Recent advancements in computation power and artificial intelligence have allowed the creation of advanced reinforcement learning models which could revolutionize, between others, the field of… (more)

Subjects/Keywords: Reinforcement Learning; Loss Functions; Robotics

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APA (6th Edition):

Cherici, T. (. (2018). Robotic Auxiliary Losses for continuous reinforcement learning. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:82fb85b9-9b68-4f05-a89b-53e82c593194

Chicago Manual of Style (16th Edition):

Cherici, Teo (author). “Robotic Auxiliary Losses for continuous reinforcement learning.” 2018. Masters Thesis, Delft University of Technology. Accessed November 29, 2020. http://resolver.tudelft.nl/uuid:82fb85b9-9b68-4f05-a89b-53e82c593194.

MLA Handbook (7th Edition):

Cherici, Teo (author). “Robotic Auxiliary Losses for continuous reinforcement learning.” 2018. Web. 29 Nov 2020.

Vancouver:

Cherici T(. Robotic Auxiliary Losses for continuous reinforcement learning. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2020 Nov 29]. Available from: http://resolver.tudelft.nl/uuid:82fb85b9-9b68-4f05-a89b-53e82c593194.

Council of Science Editors:

Cherici T(. Robotic Auxiliary Losses for continuous reinforcement learning. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:82fb85b9-9b68-4f05-a89b-53e82c593194


Delft University of Technology

4. 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

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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 November 29, 2020. 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. 29 Nov 2020.

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 2020 Nov 29]. 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

5. 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 November 29, 2020. 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. 29 Nov 2020.

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 2020 Nov 29]. 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

6. van Laar, Patrick (author). Acoustic recognition of motorized vehicles with a moving listener.

Degree: 2019, Delft University of Technology

New measures have to be taken to combat fatalities caused by traffic accidents. Intelligent vehicles have the potential to increase safety, but depend heavily on… (more)

Subjects/Keywords: Acoustic perception; Intelligent Vehicles; Machine Learning

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APA (6th Edition):

van Laar, P. (. (2019). Acoustic recognition of motorized vehicles with a moving listener. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:3e74c3a7-9099-48c0-ab26-afb0fa785629

Chicago Manual of Style (16th Edition):

van Laar, Patrick (author). “Acoustic recognition of motorized vehicles with a moving listener.” 2019. Masters Thesis, Delft University of Technology. Accessed November 29, 2020. http://resolver.tudelft.nl/uuid:3e74c3a7-9099-48c0-ab26-afb0fa785629.

MLA Handbook (7th Edition):

van Laar, Patrick (author). “Acoustic recognition of motorized vehicles with a moving listener.” 2019. Web. 29 Nov 2020.

Vancouver:

van Laar P(. Acoustic recognition of motorized vehicles with a moving listener. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2020 Nov 29]. Available from: http://resolver.tudelft.nl/uuid:3e74c3a7-9099-48c0-ab26-afb0fa785629.

Council of Science Editors:

van Laar P(. Acoustic recognition of motorized vehicles with a moving listener. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:3e74c3a7-9099-48c0-ab26-afb0fa785629


Delft University of Technology

7. 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 (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 29, 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. 29 Nov 2020.

Vancouver:

Zijlmans J(. Improving Monocular SLAM: using Depth Estimating CNN. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2020 Nov 29]. 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

8. van Apeldoorn, Naphur (author). 3D Reconstruction of Niniveh: A casestudy on the Bas-reliefs of the Southwest Palace of Sennacherib with monocular images.

Degree: 2017, Delft University of Technology

Parts of the Southwest Palace of Sennacherib (700 BC), which were located in Nineveh (Iraq), are now destroyed by the ongoing conflict in Iraq and… (more)

Subjects/Keywords: 3D Reconstruction; Niniveh; image reconstruction; Monocular; 3D printing; Cultural Heritage

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APA (6th Edition):

van Apeldoorn, N. (. (2017). 3D Reconstruction of Niniveh: A casestudy on the Bas-reliefs of the Southwest Palace of Sennacherib with monocular images. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:54b5c5c4-1a36-4571-b0d4-4ef0450c311e

Chicago Manual of Style (16th Edition):

van Apeldoorn, Naphur (author). “3D Reconstruction of Niniveh: A casestudy on the Bas-reliefs of the Southwest Palace of Sennacherib with monocular images.” 2017. Masters Thesis, Delft University of Technology. Accessed November 29, 2020. http://resolver.tudelft.nl/uuid:54b5c5c4-1a36-4571-b0d4-4ef0450c311e.

MLA Handbook (7th Edition):

van Apeldoorn, Naphur (author). “3D Reconstruction of Niniveh: A casestudy on the Bas-reliefs of the Southwest Palace of Sennacherib with monocular images.” 2017. Web. 29 Nov 2020.

Vancouver:

van Apeldoorn N(. 3D Reconstruction of Niniveh: A casestudy on the Bas-reliefs of the Southwest Palace of Sennacherib with monocular images. [Internet] [Masters thesis]. Delft University of Technology; 2017. [cited 2020 Nov 29]. Available from: http://resolver.tudelft.nl/uuid:54b5c5c4-1a36-4571-b0d4-4ef0450c311e.

Council of Science Editors:

van Apeldoorn N(. 3D Reconstruction of Niniveh: A casestudy on the Bas-reliefs of the Southwest Palace of Sennacherib with monocular images. [Masters Thesis]. Delft University of Technology; 2017. Available from: http://resolver.tudelft.nl/uuid:54b5c5c4-1a36-4571-b0d4-4ef0450c311e


Delft University of Technology

9. 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 (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 29, 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. 29 Nov 2020.

Vancouver:

Raipuria G(. Vehicle Trajectory Prediction Using Road Structure. [Internet] [Masters thesis]. Delft University of Technology; 2017. [cited 2020 Nov 29]. 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

10. van Duijneveldt, Joris (author). On correction prediction in man and robot using the cerebellar model articulation controller.

Degree: 2019, Delft University of Technology

 The subject of this thesis is to investigate whether the Cerebellar Model Articulation Controller (CMAC) can be used to anticipate controller corrections and increase performance… (more)

Subjects/Keywords: (Artificial) Cerebellum; Delay reduction; Cerebellar Model Articulation Controller (CMAC); Purkinje Cell

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APA (6th Edition):

van Duijneveldt, J. (. (2019). On correction prediction in man and robot using the cerebellar model articulation controller. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:5b99031c-ab3e-4b01-a151-3b3e40ba2676

Chicago Manual of Style (16th Edition):

van Duijneveldt, Joris (author). “On correction prediction in man and robot using the cerebellar model articulation controller.” 2019. Masters Thesis, Delft University of Technology. Accessed November 29, 2020. http://resolver.tudelft.nl/uuid:5b99031c-ab3e-4b01-a151-3b3e40ba2676.

MLA Handbook (7th Edition):

van Duijneveldt, Joris (author). “On correction prediction in man and robot using the cerebellar model articulation controller.” 2019. Web. 29 Nov 2020.

Vancouver:

van Duijneveldt J(. On correction prediction in man and robot using the cerebellar model articulation controller. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2020 Nov 29]. Available from: http://resolver.tudelft.nl/uuid:5b99031c-ab3e-4b01-a151-3b3e40ba2676.

Council of Science Editors:

van Duijneveldt J(. On correction prediction in man and robot using the cerebellar model articulation controller. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:5b99031c-ab3e-4b01-a151-3b3e40ba2676


Delft University of Technology

11. Vehmeijer, Leonore (author). Measures for the reduction of CO2 emissions, by the inland shipping fleet, on the Rotterdam-Antwerp corridor.

Degree: 2019, Delft University of Technology

 The main aim of this research was to establish which measures are significant in reducing the CO2 emission levels on the waterways between Rotterdam and… (more)

Subjects/Keywords: emission reduction; Emission; carbon dioxide recudtion; Inland shipping; Rotterdam; Antwerp; python; simulation models; measures; Rijkswaterstaat; Scheldt-Rhine; Zuid-Beveland; Krammer locks; Kreekrak locks; Hansweert locks; Volkerak locks

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APA (6th Edition):

Vehmeijer, L. (. (2019). Measures for the reduction of CO2 emissions, by the inland shipping fleet, on the Rotterdam-Antwerp corridor. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:1abd88e0-9ab6-47fd-a503-2f19ba13bbff

Chicago Manual of Style (16th Edition):

Vehmeijer, Leonore (author). “Measures for the reduction of CO2 emissions, by the inland shipping fleet, on the Rotterdam-Antwerp corridor.” 2019. Masters Thesis, Delft University of Technology. Accessed November 29, 2020. http://resolver.tudelft.nl/uuid:1abd88e0-9ab6-47fd-a503-2f19ba13bbff.

MLA Handbook (7th Edition):

Vehmeijer, Leonore (author). “Measures for the reduction of CO2 emissions, by the inland shipping fleet, on the Rotterdam-Antwerp corridor.” 2019. Web. 29 Nov 2020.

Vancouver:

Vehmeijer L(. Measures for the reduction of CO2 emissions, by the inland shipping fleet, on the Rotterdam-Antwerp corridor. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2020 Nov 29]. Available from: http://resolver.tudelft.nl/uuid:1abd88e0-9ab6-47fd-a503-2f19ba13bbff.

Council of Science Editors:

Vehmeijer L(. Measures for the reduction of CO2 emissions, by the inland shipping fleet, on the Rotterdam-Antwerp corridor. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:1abd88e0-9ab6-47fd-a503-2f19ba13bbff


Delft University of Technology

12. 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 November 29, 2020. 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. 29 Nov 2020.

Vancouver:

Willems R(. Longitudinal Behavior Planning with Maneuver Prediction for Urban Driving. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2020 Nov 29]. 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

13. van der Molen, Hessel (author). Development of a Low-Cost, Solid-State, Line-Laser Distance Sensor: An Integrated Approach.

Degree: 2017, Delft University of Technology

 Many robotic systems rely on laser ranging sensors to navigate and map their environment. As robots are getting more advanced, smaller and cheaper, their sensors… (more)

Subjects/Keywords: Triangulation; Distance Measurement; Solid-State Sensor; Line-Laser; Modelling; Optimisation; Low-Cost; LiDAR

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APA (6th Edition):

van der Molen, H. (. (2017). Development of a Low-Cost, Solid-State, Line-Laser Distance Sensor: An Integrated Approach. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:509d12ba-7224-4e24-adff-d15059422319

Chicago Manual of Style (16th Edition):

van der Molen, Hessel (author). “Development of a Low-Cost, Solid-State, Line-Laser Distance Sensor: An Integrated Approach.” 2017. Masters Thesis, Delft University of Technology. Accessed November 29, 2020. http://resolver.tudelft.nl/uuid:509d12ba-7224-4e24-adff-d15059422319.

MLA Handbook (7th Edition):

van der Molen, Hessel (author). “Development of a Low-Cost, Solid-State, Line-Laser Distance Sensor: An Integrated Approach.” 2017. Web. 29 Nov 2020.

Vancouver:

van der Molen H(. Development of a Low-Cost, Solid-State, Line-Laser Distance Sensor: An Integrated Approach. [Internet] [Masters thesis]. Delft University of Technology; 2017. [cited 2020 Nov 29]. Available from: http://resolver.tudelft.nl/uuid:509d12ba-7224-4e24-adff-d15059422319.

Council of Science Editors:

van der Molen H(. Development of a Low-Cost, Solid-State, Line-Laser Distance Sensor: An Integrated Approach. [Masters Thesis]. Delft University of Technology; 2017. Available from: http://resolver.tudelft.nl/uuid:509d12ba-7224-4e24-adff-d15059422319

.