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Meijssen, Ries (author)The shift to sustainable energy sources has increased demand for Energy Transition Metals such as nickel, copper, cobalt, and manganese. To satisfy this need while reducing the negative social and environmental effects of conventional mining, Deep-sea Nodule Collection (DSNC) appears to be a feasible option. Despite its potential, DSNC...master thesis 2024
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Bontan, Luc (author)Robots are increasingly deployed in various locations to automate tasks, including in barns. However, in barns cows can obstruct the sensors such as LiDAR or camera, leading to a lack of environmental information. As a result, the robot’s localization system only relies on odometry at those moments, introducing additional uncertainty to the...master thesis 2023
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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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ZHONG, Yigen (author)Tracker-level fusion (TLF) is recognized as an effective approach to comprehensively improve visual object tracking performance by combining the capabilities of multiple baseline trackers. Although there is considerable interest in TLF, there are still challenges related to insufficient understanding, high cost, and unstable performance that...master thesis 2023
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Cui, Jianfeng (author)We explored the possibility of improving cross-view matching performance with self-supervised learning techniques and perform interpretations in terms of the embedding space of image features. The effect of pre-training by contrastive learning is verified quantitatively by experiments, and also exhibited by visualization of the feature space.master thesis 2023
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Coroz, Meltem (author)A robotic vehicle must continuously determine its position within the map to traverse a path safely; this is called self-localization. Current localization methods use mainly sensors like LIDARS. However, a LIDAR does not return data points if the environment is an empty field; the laser scan of the LIDAR does not reflect without obstacles,...master thesis 2022
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de Vries Lentsch, Ted (author)This work addresses visual localization for intelligent vehicles. The task of cross-view matching-based localization is to estimate the geo-location of a vehicle-mounted camera by matching the captured street view image with an overhead-view satellite map containing the vehicle's local surroundings. This local satellite view image can be...master thesis 2022
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Singh, Guru Deep (author)The automotive industry currently has been working on developing various levels of autonomy to assist in different Advanced Driver Assistance Systems (ADAS) with the ultimate aim of moving closer to the realization of an autonomous vehicle. For such ADAS, the industry has been using multiple sensors like Cameras, Radar, LiDAR, etc. LiDAR has...master thesis 2022
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Tempelaar, Willem Jan (author)Multi-pedestrian tracking in camera networks has gained enormous interest in the industry because of its applicability in travel-flow analysis, autonomous driving, and surveillance. Essential to tracking in camera networks is camera calibration and, in particular extrinsic camera calibration. Extrinsic camera calibration incorporates the 3D...master thesis 2022
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Skënderi, 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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Schulz, Yannick (author)Driving is a challenging task. When people operate vehicles they utilize all their senses to assess the current traffic scenario and determine appropriate actions to take. Sensors in autonomous driving applications aim to mimic those human senses to build a similar understanding of these complex circumstances. Most scientific attention in the...master thesis 2021
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Hoorneman, Jochem (author)The topic of automated driving is receiving increasing attention from the scientific community and automotive industry. A key task for an autonomous vehicle is the recognition of drivable area and, in an extension of this, detecting the road boundaries. State-of-the-art techniques often use camera and/or LIDAR sensors to perform this task....master thesis 2021
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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
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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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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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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
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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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- van Dorth, Matthijs (author) master thesis 2017