Searched for: contributor:"Kooij, J.F.P. (mentor)"
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Pijnacker Hordijk, Lucas (author)
An increase in the intelligence of autonomous driving functionalities demands detailed analysis of the behaviour of traffic participants. This level of analysis requires datasets that accurately describe the movement of all objects in a specific scene. Recent developments in small Unmanned Aerial Vehicles (sUAVs) and drones introduce an...
master thesis 2020
document
Mattar, Avinash (author)
Passive acoustic sensing utilizes the ability of sound to travel beyond the line-of-sight to understand the surroundings. This provides an advantage over the currently used sensors in Intelligent Vehicles that can sense obstacles within their line-of-sight only. Recently, a localization based approach has been implemented to take advantage of...
master thesis 2020
document
Ammerlaan, Jelle (author)
Self-driving vehicles have shown rapid development in recent years and continue to move towards full autonomy. For high or full automation, self-driving vehicles will have to be able to address and solve a broad range of situations, one of which is interaction with traffic agents. For correct and save maneuvering through these situations,...
master thesis 2020
document
van Laar, Patrick (author)
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 their automated perception ability.<br/>Acoustic perception, an unused sensing modality in this field, has potential for the detection of nearby vehicles, an ability both human drivers...
master thesis 2019
document
Wang, Ziqi (author)
This work explores the possibility of incorporating depth information into a deep neural network to improve accuracy of RGB instance segmentation. The baseline of this work is semantic instance segmentation with discriminative loss function.The baseline work proposes a novel discriminative loss function with which the semantic net-work can learn...
master thesis 2018
document
van Dorth, Matthijs (author)
master thesis 2017
Searched for: contributor:"Kooij, J.F.P. (mentor)"
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