Searched for: contributor%3A%22Gavrila%2C+D.+%28graduation+committee%29%22
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Voloshyn, Sviatoslav (author)
This work addresses visual localization of intelligent vehicles as an alternative to traditional GPS- of HD map-based localization options. Specifically, the problem of Cross-View Pose Estimation (CVPE) is explored, which involves estimating the vehicle pose within an encompassing aerial patch, given a ground image from the on-board camera feed....
master thesis 2023
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Sk├źnderi, Nerdi (author)
The world is heading more and more towards automation, that goes for transportation as well. Various car manufactures already have released level 2 autonomous vehicles meaning that the future is not that far away. An essential part of driving is of course detecting and obeying the traffic signs. Advanced Driver Assistance Systems (ADAS) like...
master thesis 2022
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Dirks, Rutger (author)
For an Autonomous Vehicle (AV) to traverse safely in traffic, It is vital it can anticipate the behavior of surrounding traffic participants using motion prediction. Current motion prediction approaches can be categorized into object-centered and object-agnostic methods and are primarily based on deep learning. The former relies on a human...
master thesis 2022
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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
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Sakthivel, Ramkumar (author)
Human pose estimation, a challenging computer vision task of estimating various human body joints' locations, has a wide range of applications such as pedestrian tracking for autonomous cars, baby monitoring, video surveillance, human action recognition, virtual reality, gaming, gait analysis, etc. A majority of the research on the development...
master thesis 2020
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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
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van Schouwenburg, Sietse (author)
Simultaneous Localization And Mapping (SLAM) algorithms provide accurate localization for autonomous vehicles and provide essential information for the path planning module. However, SLAM algorithms as- sume a static environment in order to estimate a location. This assumption influences the pose estimation in dynamic urban environments. The...
master thesis 2019
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Bos, Evert (author)
With an in vehicle camera many different things can be done that are essential for ADAS or autonomous driving mode in a vehicle. First, it can be used for detection of general objects, for example cars, cyclists or pedestrians. Secondly, the camera can be used for traffic light recognition, which is localization of traffic light position and...
master thesis 2019
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Wout, Daan (author)
A prevalent approach for learning a control policy in the model-free domain is by engaging Reinforcement Learning (RL). A well known disadvantage of RL is the necessity for extensive amounts of data for a suitable control policy. For systems that concern physical application, acquiring this vast amount of data might take an extraordinary amount...
master thesis 2019
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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
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Wymenga, Jan (author)
This work presents a multi-sensor approach for weather condition estimation in automated vehicles. Using combined data from weather sensors (barometer, hygrometer, etc) and an in-vehicle camera, a machine learning and computer vision framework is employed to estimate the current weather condition in realtime and in-vehicle. The use of different...
master thesis 2018
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