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Liu, Stan (author)Learning-based approaches are widely applied in the perception system of autonomous vehicles. Thus, a large amount of labeled data are needed to train these data-hungry models. To reduce the expensive labor cost for manual labeling autonomous driving datasets, an alternative is to automatically annotate the datasets using a trained offline...master thesis 2023
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Kroon, Mirco (author)Simulating lighting is one of the most important parts of rendering 3D scenes. While lighting coming directly from a light source is easy to simulate in real-time, indirect illumination is more difficult. One of the methods used to convincingly approximate indirect illumination is ambient occlusion, where the brightness of objects is reduced...master thesis 2023
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Jol, Cees (author)Strawberries have a short shelf-life time and thus need to be harvested at the right time to reduce waste. To this end, information about quality attributes is useful. Recently, many computer vision methods have been proposed. Most literature analyzes postharvest, which means that strawberries can only be analyzed after harvesting. As a result,...master thesis 2022
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van der Eijk, Jari (author)<b>Introduction:</b> To correct malocclusion and enhance function and dental and facial aesthetics, orthodontic and orthognathic treatment can be considered. In the workflow of virtual surgical planning for orthognathic surgery, virtual occlusion planning is embedded as replacement for manual planning with dental cast models. An automatic...master thesis 2022
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Kooi, Emma (author)Abstract— Visual occlusion can cause object detection and classification systems to fail due to swift movement or a soiled, moist or dusty environment. Hence, this asks for a ’blind’ collision detection and classification method. This paper presents a novel blind collision detection and classification scheme for a<br/>heavyweight, low-speed,...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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Klaoudatos, Dimitrios (author)This MSc thesis presents the development of a viewpoint optimization framework to face the problem of detecting occluded fruits in autonomous harvesting. A Deep Reinforcement Learning (DRL) algorithm is developed in order to train a robotic manipulator to navigate to occlusion-free viewpoints of the tomato-target. Two Convolutional Neural...master thesis 2021
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Pauwels, Alex (author)The establishment of areas for safe automated driving in mixed-traffic settings is one major barrier in the development and adoption of Autonomous Vehicles (AVs). This work investigates safety in the interactions between AVs, human-driven vehicles, and vulnerable road users such as cyclists and pedestrians in a simulated urban environment in the...master thesis 2021
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van der Sluis, Joram (author)This master thesis presents an experimental study on 3D person localization (i.e., pedestrians, cyclists)in traffic scenes, using monocular vision and Light Detection And Ranging (LiDAR) data. The performance of two top-ranking methods is analyzed on the 3D object detection KITTI dataset. In this evaluation, the effect of the Intersection over...master thesis 2020
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Vermeer, Jop (author)Ambient occlusion is a popular rendering technique that creates a greater sense of depth and realism, by darkening places in the scene that are less exposed to ambient light (e.g., corners and creases). Ambient occlusion measures how geometrically occluded each point in the scene is and modulates the ambient light accordingly. In real-time...master thesis 2020
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Pytel, Rafal (author)Occlusion degrades the performance of human pose estimation. In this paper, we introduce targeted keypoint and body part occlusion attacks. The effects of the attacks are systematically analyzed on the best-performing methods. In addition, we propose occlusion specific data augmentation techniques against keypoint and part attacks. Our extensive...master thesis 2020
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Witte, Tieme (author)Newly educated sailors have a tendency to neglect the outside view when sailing [1], instead relying on systems like the Electronic Chart Display and Information System (ECDIS) [2] for information on ships in the area.Augmented Reality (AR) has been proposed as a solution to this problem, by visualising ships in the area in 3D at their physical...master thesis 2020
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Chen, Joe (author)For the real-world face recognition, factors such as occlusion and pose-variant (cross face) would affect the identification/verification performance. In addition, large number of classes also increase the complexity, which makes verification/identification even harder. In order to deal with these issues, how to extract discriminative embeddings...master thesis 2019
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Kolff, Maurice (author)In car driving, manual control to keep a vehicle within its lane is mainly performed based on visual information of the road ahead. Linear models describing behavior in such tasks can therefore be directly based on the human perception of the visual scene, although it is currently unclear how this perception guides control behavior. In...master thesis 2019
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Yang, Hongyu (author)Occlusion and crossing in Multi-Person Tracking always influence the tracking results. In this paper, we show how deep Re-Identification (ReID), which aims at matching pedestrians across non-overlapping video cameras, can be used to improve the occlusion problem on tracking. The learned ReID feature is more robust than other features used in...master thesis 2018
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Liu, Lu (author)During the last decades, people detection has received great attention in computer vision and pattern recognition because of its various applications. Though there are thousands of papers provide approaches for people detection, most of them focus on datasets from side view. People detection from overhead cameras, as an important situation for...master thesis 2018
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Karapanagiotis, Jordan (author)Chronic total occlusion (CTO) occurs in approximately a third of all patients with coronary artery disease and is one of the most challenging types of conditions to treat. Minimally invasive methods like percutaneous coronary intervention (PCI) show a high treating potential as well as low costs, short hospital stay and fast recovery. However,...master thesis 2017
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Chandiramani, Jayesh (author)One of the most crucial links to building an autonomous system is the task of decision making. The ability of a vehicle to make robust decisions on its own by predicting and assessing future consequences is what makes it intelligent. This task of decision making becomes even more complex due to the fact that the real world is uncertain,...master thesis 2017
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Chandrasekharan Nair, Sreejith (author)Speech is a natural way of communicating that does not require us to develop any new skills in order to be able to interact with electronic devices. With the evolution of technology, speech has become one of the primary means of communication. Speech recognition is a form of multimedia content analysis, where the information carried in a speech...master thesis 2017
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Rezunenko, E.M. (author)This paper presents an experimental validation of a recently developed two-point human controller (HC) model for preview tracking tasks. During a human-in-the-loop experiment, subjects tracked identical target signals with zero preview, 1.5 seconds of preview, and two occlusion conditions, blocking either the 0-0.5 s, or 0.35-0.85 s region from...master thesis 2016
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