Searched for: contributor%3A%22Caesar%2C+H.C.+%28graduation+committee%29%22
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CHEN, XI (author)
In autonomous driving, environmental perception, crucial for navigation and decision-making, depends on integrating data from multiple sensors like cameras and LiDAR. Camera-LiDAR fusion combines detailed imagery with precise depth, improving environmental awareness. Effective data fusion requires accurate extrinsic calibration to align camera...
master thesis 2024
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Gao, Yuxing (author)
The rapid advancement in autonomous driving technology underscores the importance of studying the fragility of perception systems in autonomous vehicles, particularly due to their profound impact on public transportation safety. These systems are of paramount importance due to their direct impact on the lives of passengers and pedestrians....
master thesis 2023
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van Zwienen, Benjamin (author)
In the literature, neural network compression can significantly reduce the number of floating-point operations (FLOPs) of a neural network with limited accuracy loss. At the same time, it is common to manually design smaller networks instead of using modern compression techniques. This thesis will compare the two approaches for the object...
master thesis 2023
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KALYANASUNDARAM, DARSHAN (author)
A key important part of a warehouse operation is to keep track of the products in the warehouse. Traditionally, handheld scanners are used to scan the products to perform a stock count. The advancements in robotics have paved the way for new technologies that can improve the scanning process. This work shows how prior knowledge and warehouse...
master thesis 2023
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Venkataraman, Gautham (author)
Solving routing problems efficiently is instrumental in minimizing operational costs in logistics. These routing problems are hard to solve and often take a lot of time to find a good solution. In this thesis, we present a methodology that tackles the challenge of efficiently solving recurring instances of the Vehicle Routing Problem with Time...
master thesis 2023
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Kumaran, Koushik (author)
Loop Robots develops and operates the next generation of fully autonomous disinfection robots in hospitals and healthcare settings. Accurate localization is essential in order to navigate reliably and effectively disinfect the tight hallways and corners of a patient room, operating room, or intensive care unit in a hospital. Odometry, or dead...
master thesis 2023
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van Eeden, Simon (author)
Visual inspection of liquid medicine containers for contamination and defects is mandatory and crucial to ensure their safety for injection. This document presents research and development of three modules of the Visual Particle Inspection Subsystem (VPIS), an automatic inspection subsystem with the task of detecting and classifying particle...
master thesis 2023
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Westerhout, Frederik (author)
Understanding traffic participants’ behaviour is crucial for predicting their future trajectories, enabling autonomous vehicles to better assess the environment and consequently anticipate possible dangerous situations at an early stage. While the integration of cognitive processes and machine learning models has demonstrated promise in various...
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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POLYA RAMESH, CHINMAY (author)
Camera-based patient monitoring is undergoing rapid adoption in the healthcare sector with the recent COVID-19 pandemic acting as a catalyst. It offers round-the-clock monitoring of patients in clinical units (e.g. ICUs, ORs), or at their homes through installed cameras, enabling timely, pre-emptive care. These are powered by Computer Vision...
master thesis 2022
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Chandran, Godwin Rayan (author)
Video Object Detectors (VID) are used in various applications such as surveillance, inspection, etc. Often in these applications there exists a spatial area of interest and a static background. The static backgrounds remain constant throughout the video sequence in the training data establishing an undesirable correlation with the moving object...
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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Jousma, Sjoerd (author)
This thesis is inspired by Active Inference to contribute to its improvement in the Robotics work field. However, the results and applications of this thesis are useful in a broader perspective, namely in any field that makes use of derivatives and the forecasting of a time-series signal. The goal of this study is to determine a new approach for...
master thesis 2022
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