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Shi, W. (author), Grazian, F. (author), Dong, J. (author), Soeiro, Thiago B. (author), Bauer, P. (author)This paper proposes a new method of electric vehicles detection (EVD) and foreign objects detection (FOD) for dynamic inductive power transfer (DIPT) systems. The proposed detection method applies both passive coil sets (PCSs) and active coil sets (ACSs) to achieve both EVD and FOD with a high detection sensitivity. The operation mechanisms...conference paper 2020
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Lauriks, Joppe (author)Spiking Neural Networks have opened new doors in the world of Neural Networks. This study implements and shows a viable architecture to detect and classify blob-like input data. An architecture consisting of three parts a region proposal network, weight calculations, and the classifier is discussed and implemented. The region proposal network is...master thesis 2019
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Wang, Yizhou (author)In the past few years, convolutional neural networks (CNNs) have been widely utilized and shown state-of-the-art performances on computer vision tasks. However, CNN based approaches usually require a large amount of storage, run-time memory, as well as computation power in both training and inference time, which are usually used on GPU based...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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Boehmer, Daniel (author)Wind energy plays a major role in the ongoing energy transition. To accelerate the adoption of wind energy and thereby the energy transition, the Levelized Cost of Energy (LCOE) has to be minimized. Apart from increasing turbine performance, reducing turbine down-time can contribute to lowering the LCOE.Down-time is defined as time during which...master thesis 2019
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Jargot, Dominik (author)Nowadays, autonomous driving is a trending topic in the automotive field. One of the most crucial challenges of autonomous driving research is environment perception. Currently, many techniques achieve satisfactory performance in 2D object detection using camera images. Nevertheless, such 2D object detection might be not sufficient for autonomous...master thesis 2019
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Braun, M. (author), Krebs, S.A. (author), Flohr, F.B. (author), Gavrila, D. (author)Big data has had a great share in the success of deep learning in computer vision. Recent works suggest that there is significant further potential to increase object detection performance by utilizing even bigger datasets. In this paper, we introduce the EuroCity Persons dataset, which provides a large number of highly diverse, accurate and...journal article 2019
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Heikoop, D.D. (author), de Winter, J.C.F. (author), van Arem, B. (author), Stanton, Neville A. (author)Automated driving systems are increasingly prevalent on public roads, but there is currently little knowledge on the level of workload and stress of drivers operating an automated vehicle in a real environment. The present study aimed to measure driver workload and stress during partially automated driving in real traffic. We recorded heart...journal article 2019
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Dürnay, Philipp (author)Autonomous MAV are an emerging technology that supports a wide range of applications such as medical delivery or finding survivors in disaster scenarios. As flying in such missions is difficult the robust estimation of an MAV's state within its environment is crucial to ensure safe operation. In indoor scenarios, cameras are one of the...master thesis 2018
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Uittenbogaard, Ries (author)In this thesis, a pipeline is created consisting of two parts. In the first part, the moving objects (cars, cyclists, pedestrians) are detected in street-view imagery using image segmentation neural networks and a LIDAR-based moving object detection approach. In the second part, those moving objects are deleted from the image data and an image...master thesis 2018
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GAO, Xinyu (author)Object detection is one of the most important research topics in autonomous vehicles. The detection systems of autonomous vehicles nowadays are mostly image-based ones which detect target objects in the images. Although image-based detectors can provide a rather accurate 2D position of the object in the image, it is necessary to get the accurate...master thesis 2018
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Rijlaarsdam, Matthijs (author)Object detectors, much like humans, perform less well on small than on large objects. Because of this, the object size distribution of a dataset influences the average precision a network achieves on that dataset. Therefore, the object size/precision curve of a network might be a better way to compare convolutional object detectors than the...bachelor thesis 2018
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Zwanepol, Jacco (author)In computer vision pose estimation of objects in everyday scenes is a basic need for a clearunderstanding of the surrounding environment, fields of interests include; augmented reality,surveillance, navigation, manipulation, and robotics in general. Pose estimation is a wellstudied topic, however fast and robust solutions are still hard to...master thesis 2018
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Steensma, Bart (author)Fouling (algae, slime, and barnacles) on the hull of large cargo vessels is undesirable because it increases their frictional drag, resulting in an increased fuel consumption. As a solution, Fleet Cleaner introduced a ship hull cleaning robot that maneuvers on the hull, using powered wheels and magnets. The robot is controlled by a human...master thesis 2018
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Arya Senna Abdul Rachman, Arya (author)The recent advancement of the autonomous vehicle has raised the need for reliable environmental perception. This is evident, as an autonomous vehicle has to perceive and interpret its local environment in order to execute reactive and predictive control action. Object Tracking is an integral part of vehicle perception, as it enables the vehicle...master thesis 2017
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den Boer, Tjerk (author), de Vos, Bart (author)Internet of things (IoT) applications become more and more prominent in our modern society. IoT has the potential to improve business processes and change the ways we live. KPN New Business has a high affinity with IoT projects and supplied the problem definition that this project builds on. The project has been done in close collaboration with...bachelor thesis 2017
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Gandini, E. (author), Svedin, Jan (author), Bryllert, Thomas (author), Llombart, Nuria (author)In this paper, the practical tradeoffs for designing submillimeter wavelength imagers based on optomechanical systems combined with focal plane arrays (FPAs) are presented. The architecture of these systems differs for operation at short and long ranges. General formulas to derive the effective field of view of diffraction limited quasi...journal article 2017
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Khan, M.S. (author)Human-robot collaborative act is obvious nowadays in a modern intervention room. It is very important to ensure the safety of the patient along with other personnel in the operation theater and prevent damages to the equipment during an intervention. Due to the complex environment and multiple unknown dynamic objects in the room, vision-based...master thesis 2016
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Runia, T.F.H. (author)In this thesis we design, implement and study a high-speed object detection framework. Our baseline detector uses integral channel features as object representation and AdaBoost as supervised learning algorithm. We suggest the implementation of two approximation techniques for speeding up the baseline detector and show their effectiveness by...master thesis 2015
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Gaiser, J.C. (author)This thesis introduces a new algorithm that generates candidate proposals for an object detection pipeline. We introduce Stochastic Selective Search (SSS), a segmentation based selective search method, which differs from previous work in two ways. First and most importantly, SSS is much faster than current state-of-the-art algorithms while...master thesis 2015