Searched for: subject%3A%22occlusion%22
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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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Pauwels, A.J. (author), Pourmohammadzia, N. (author), Schulte, F. (author)
Next to environmental aspects, establishing areas for safe and economically viable automated driving in mixed-traffic settings is one major challenge for sustainable development of Autonomous Vehicles (AVs). This work investigates safety in the interactions between AVs, human-driven vehicles, and vulnerable road users, including cyclists and...
journal article 2022
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Li, Fang (author), Li, Xueyuan (author), Liu, Qi (author), Li, Z. (author)
Pedestrian detection is an important branch of computer vision, and it has important applications in the fields of autonomous driving, artificial intelligence and video surveillance.With the rapid development of deep learning and the proposal of large-scale datasets, pedestrian detection has reached a new stage and achieves better performance...
journal article 2022
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de Winter, J.C.F. (author), Saffarian, M (author), Senders, John W. (author)
Objective: To share results of an experiment that used visual occlusion for a new purpose: inducing a waiting time. Background: Senders was a leading figure in human factors. In his research on the visual demands of driving, he used occlusion techniques. Methods: In a simulator experiment, we examined how drivers brake for different levels of...
journal article 2022
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Liu, Zhenyu (author), van Oosterom, P.J.M. (author), Balado Frías, J. (author), Swart, Arjen (author), Beers, Bart (author)
Vehicle-related ground occlusion is a common problem in MLS data. This study aims to design a detection and reconstruction method of static vehicle-related ground occlusion for MLS data. Ground extraction and vehicle segmentation are performed on the input point cloud data in advance. Then an α-shape boundary based on the prior vehicle...
journal article 2022
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Shi, P. (author), Billeter, M.J. (author), Eisemann, E. (author)
Screen-space ambient occlusion (SSAO) shows high efficiency and is widely used in real-time 3D applications. However, using SSAO algorithms in stereo rendering can lead to inconsistencies due to the differences in the screen-space information captured by the left and right eye. This will affect the perception of the scene and may be a source...
journal article 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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Balado Frías, J. (author), Arias, Pedro (author), Lorenzo, Henrique (author), Meijide-Rodríguez, Adrián (author)
Mobile Laser Scanning (MLS) systems have proven their usefulness in the rapid and accurate acquisition of the urban environment. From the generated point clouds, street furniture can be extracted and classified without manual intervention. However, this process of acquisition and classification is not error-free, caused mainly by disturbances...
journal article 2021
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Vermeer, Jop (author), Scandolo, L. (author), Eisemann, E. (author)
Ambient occlusion (AO) is a popular rendering technique that enhances depth perception and realism by darkening locations that are less exposed to ambient light (e.g., corners and creases). In real-time applications, screen-space variants, relying on the depth buffer, are used due to their high performance and good visual quality. However, these...
journal article 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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Balado Frías, J. (author), González, E. (author), Verbree, E. (author), Díaz-Vilarino, L. (author), Lorenzo, H. (author)
Occlusions accompany serious problems that reduce the applicability of numerous algorithms. The aim of this work is to detect and characterize urban ground gaps based on occluding object. The point clouds for input have been acquired with Mobile Laser Scanning and have been previously segmented into ground, buildings and objects, which have...
journal article 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
Searched for: subject%3A%22occlusion%22
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