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Palffy, A. (author), Pool, E.A.I. (author), Baratam, Srimannarayana (author), Kooij, J.F.P. (author), Gavrila, D. (author)Next-generation automotive radars provide elevation data in addition to range-, azimuth- and Doppler velocity. In this experimental study, we apply a state-of-the-art object detector (PointPillars), previously used for LiDAR 3D data, to such 3+1D radar data (where 1D refers to Doppler). In ablation studies, we first explore the benefits of...journal article 2022
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Su, Ruisheng (author), van der Sluijs, Matthijs (author), Cornelissen, Sandra A.P. (author), Lycklama, Geert (author), Hofmeijer, Jeannette (author), Majoie, Charles B.L.M. (author), Niessen, W.J. (author), van der Lugt, Aad (author), van Walsum, T. (author)Intracranial vessel perforation is a peri-procedural complication during endovascular therapy (EVT). Prompt recognition is important as its occurrence is strongly associated with unfavorable treatment outcomes. However, perforations can be hard to detect because they are rare, can be subtle, and the interventionalist is working under time...journal article 2022
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Marcelis, N.H.H. (author)With the performance of current motion planning methods being highly dependent on the quality of the perception system, robust 3D multi-object detection and tracking are vital for autonomous driving applications. Despite all the advancements in 2D and 3D object detectors, robust tracking of pedestrians in dense scenarios is still a challenging...master thesis 2021
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Keizer, Jasper (author)<b>Problem:</b> One of the biggest challenges in hospitals today is improving efficiency, (patient) safety and quality of care while cutting on costs. A current reoccurring challenge in the operation department is the coordination of the components involved in making a surgery successful. One of those components is the set of surgical...master thesis 2021
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Vroon, Erik (author)Drones need to be able to detect and localize each other if they are to collaborate in multi-robot teams or swarms. Typically, computer vision methods based on visual appearance are investigated to this end. In contrast, in this work, a method based on dense optical flow (OF) is developed that detects dynamic objects. This is achieved by...master thesis 2021
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Vallendar, André (author)Plastic pollution is one of the most challenging global environmental problems. Currently, more than 1000 rivers transport approximately 80% of the plastic influx into the oceans. Naturally, more and more companies are interested in tackling this problem. One of them is Noria Sustainable Innovators, a company based in Delft (Netherlands). It is...master thesis 2021
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Ulev, Petar (author)This research paper analyses the effect that using frequency information can have on object detectors. The latter are complex networks that learn information about objects from images and are then able to predict the location of these objects in new, unseen images. There are, however, certain datasets that are hard to learn on, partly because...bachelor thesis 2021
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Prundeanu, Alin (author)Wheat is among the most important grains worldwide. For the assessment of wheat fields, image detection of spikes atop the plant containing grain is used. Previous work in deep learning for precision agriculture employs the already established object detectors, Faster R-CNN and YOLO, adapted for the given context. However, these models suffer...bachelor thesis 2021
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Adambakkam Prakash Babu, Diwakar (author)The idea of autonomous driving was merely just a dream about 5 years<br/>ago but now, with the advancements in technology, it has become prevalent.<br/>The aim of this thesis is to provide a low-cost approach for detecting and<br/>tracking moving objects from a moving platform. This could be used for<br/>an autonomous vehicle to automatically...master thesis 2021
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Luttun, Johan (author), Krijnen, T.F. (author)Recent progress in computer vision and the pervasive use of Building Information Models (BIM) in the construction industry provide countless opportunities for decision making in architectural design. It allows capturing real-world geometrical data for assessing design options, such as windows products for replacement on the façade of an existing...conference paper 2021
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Schulz, Yannick (author), Mattar, Avinash Kini (author), Hehn, T.M. (author), Kooij, J.F.P. (author)This work proposes to use passive acoustic perception as an additional sensing modality for intelligent vehicles. We demonstrate that approaching vehicles behind blind corners can be detected by sound before such vehicles enter in line-of-sight. We have equipped a research vehicle with a roof-mounted microphone array, and show on data...journal article 2021
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Shi, W. (author), Dong, J. (author), Soeiro, Thiago B. (author), Bauer, P. (author)One of the challenges with the dynamic inductive power transfer (DIPT) technique is the electric vehicle detection (EVD) that helps the DIPT system to control the power supply of the transmitter. The EVD method applying auxiliary coils is a promising candidate because the flat shape of the auxiliary coils is suitable for the compact design....journal article 2021
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Svenningsson, P.O. (author), Fioranelli, F. (author), Yarovoy, Alexander (author)Perception systems for autonomous vehicles are reliant on a comprehensive sensor suite to identify objects in the environment. While object recognition systems in the LiDAR and camera modalities are reaching maturity, recognition models on sparse radar point measurements have remained an open research challenge. An object recognition model is...conference paper 2021
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Mazhar, O. (author), Babuska, R. (author), Kober, J. (author)Deep neural networks designed for vision tasks are often prone to failure when they encounter environmental conditions not covered by the training data. Single-modal strategies are insufficient when the sensor fails to acquire information due to malfunction or its design limitations. Multi-sensor configurations are known to provide redundancy...journal article 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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Lang, Kang (author)Although the pixel-wise labelling approaches have been exploited in depth and achieve good results in segmentation tasks, the grouped pixels are not ideal output for many end-users. In this paper, we propose a vertex-voting-based approach that can directly extract the polygon representations of objects. In order to better solve overlapping...master thesis 2020
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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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Rajput, Pranjal (author)Annotating a large-scale in-the-wild person re-identification dataset especially of marathon runners is a challenging task. The variations in the scenarios such as camera viewpoints, resolution, occlusion, and illumination make the problem non-trivial. Manually annotating bounding boxes in such large-scale datasets is cost-inefficient....master thesis 2020
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de Groot, Ernst (author)According to a report published by the Dutch Safety Investigation Board in early September 2019, the safety of remotely controlled bridges is not su_cient (Onderzoeksraad voor de Veiligheid, 2019, pg.58). This report was published after the occurrence of two severe accidents in Zaandam, on the Den Uylbrug and the Prins Bernhardbrug. On both...master thesis 2020
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Abderrazik, Hiba (author)The benchmarks for the accuracy of the best performing object detectors to date are usually based on homogeneous datasets, including objects such as vehicles, people, animals and foods. This excludes a whole set of scenarios containing small, cluttered and rotated objects. This paper selects a state-of-the-art object detection model, Faster R...bachelor thesis 2020