Searched for: subject:"intelligent%5C+vehicles"
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Mattar, Avinash (author)
Passive acoustic sensing utilizes the ability of sound to travel beyond the line-of-sight to understand the surroundings. This provides an advantage over the currently used sensors in Intelligent Vehicles that can sense obstacles within their line-of-sight only. Recently, a localization based approach has been implemented to take advantage of...
master thesis 2020
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Tomy, Abhishek (author)
A human driver can gauge the intention and signals given by other road users indicative of their future behaviour. The intentions and signals are identified by looking at the cues originating from vulnerable road users or their surroundings (hand signals, head orientation, posture, traffic signals, distance to curb, etc.). Taking all these cues...
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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Ammerlaan, Jelle (author)
Self-driving vehicles have shown rapid development in recent years and continue to move towards full autonomy. For high or full automation, self-driving vehicles will have to be able to address and solve a broad range of situations, one of which is interaction with traffic agents. For correct and save maneuvering through these situations,...
master thesis 2020
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van den Berg, Berend (author)
Last decades the autonomous driving research field has shown exponential growth. The social benefits, which include increased safety, mobility and productivity, are the main factor that drive this growth. One of the most difficult problems that vehicle engineers must solve to develop autonomous vehicles is the motion planning problem. They must...
master thesis 2020
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de Jonge, Michael (author)
Merging is one of the most demanding tasks for a truck driver due to the size, weight and limited visual clearance of a truck. Automating the merging procedure can be the solution for a considerable number of accidents by removing the human factor. People have accepted the risk they are in when driving or being driven but acceptance of automated...
master thesis 2019
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van Laar, Patrick (author)
New measures have to be taken to combat fatalities caused by traffic accidents. Intelligent vehicles have the potential to increase safety, but depend heavily on their automated perception ability.<br/>Acoustic perception, an unused sensing modality in this field, has potential for the detection of nearby vehicles, an ability both human drivers...
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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Krebs, S.A. (author), Braun, M. (author), Gavrila, D. (author)
This paper presents an approach to generate dense person 3D trajectories from sparse image annotations on-board a moving platform. Our approach leverages the additional information that is typically available in an intelligent vehicle setting, such as LiDAR sensor measurements (to obtain 3D positions from detected 2D image bounding boxes) and...
conference paper 2019
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Kooij, J.F.P. (author), Flohr, F.B. (author), Pool, E.A.I. (author), Gavrila, D. (author)
Anticipating future situations from streaming sensor data is a key perception challenge for mobile robotics and automated vehicles. We address the problem of predicting the path of objects with multiple dynamic modes. The dynamics of such targets can be described by a Switching Linear Dynamical System (SLDS). However, predictions from this...
journal article 2019
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Mahajan, N. (author), Hegyi, A. (author), Hoogendoorn, S.P. (author), van Arem, B. (author)
Intelligent vehicle technologies are opening new possibilities for decentralized vehicle routing systems, suitable for regulating large traffic networks, and at the same time, capable of providing customized advice to individual vehicles. In this study, we perform a rigorous simulation-based analysis of an in-vehicle routing strategy that...
journal article 2019
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Wang, Ziqi (author)
This work explores the possibility of incorporating depth information into a deep neural network to improve accuracy of RGB instance segmentation. The baseline of this work is semantic instance segmentation with discriminative loss function.The baseline work proposes a novel discriminative loss function with which the semantic net-work can learn...
master thesis 2018
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Willems, Rick (author)
One of the remaining challenges in the development of intelligent vehicles is the topic of behavior planning in urban scenarios. Based on perception of the environment around the intelligent vehicle, driving behavior has to be optimized to achieve a comfortable driving experience without sacrificing safety. This work covers the development of a...
master thesis 2018
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Wymenga, Jan (author)
This work presents a multi-sensor approach for weather condition estimation in automated vehicles. Using combined data from weather sensors (barometer, hygrometer, etc) and an in-vehicle camera, a machine learning and computer vision framework is employed to estimate the current weather condition in realtime and in-vehicle. The use of different...
master thesis 2018
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Knoop, V.L. (author), de Bakker, P.F. (author), Tiberius, C.C.J.M. (author), van Arem, B. (author)
Modern intelligent transport solutions can achieve an improvement of traffic flow on motorways. With lane-specific measurements and lane-specific control, more measures are possible. Single frequency precise point positioning (PPP) is a newly developed and affordable technique to achieve an improved position accuracy compared with global...
journal article 2017
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Schwarting, Wilko (author), Alonso Mora, J. (author), Paull, Liam (author), Karaman, Sertac (author), Rus, Daniela (author)
High-end vehicles are already equipped with safety systems, such as assistive braking and automatic lane following, enhancing vehicle safety. Yet, these current solutions can only help in low-complexity driving situations. In this paper, we introduce a parallel autonomy, or shared control, framework that computes safe trajectories for an...
journal article 2017
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Cabrall, C.D.D. (author), de Winter, J.C.F. (author), Happee, R. (author)
A majority (95%) of crashes can be attributed to humans, with the highest cause category (41%) involving errors of recognition (i.e., inattention, distraction, inadequate surveillance) [1]. Driving safety research often claims that as much as 90% of the information that drivers use is visual. However, these claims have been hampered by a lack of...
conference paper 2017
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Schakel, W.J. (author), Gorter, C.M. (author), de Winter, J.C.F. (author), van Arem, B. (author)
With the increasing number of vehicles equipped with Adaptive Cruise Control (ACC), it becomes important to assess its impact on traffic flow efficiency, in particular with respect to capacity and queue discharge rate. Simulation studies and surveys suggest that ACC has both positive and negative effects on traffic flow, but empirical...
journal article 2017
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Huisman, M. (author)
This thesis is assessing the effects of (Cooperative) Adaptive Cruise Control using microscopic and mesoscopic simulations in Aimsun. The Gipps car-following model is manipulated in such a way that it represents (C)ACC driving behavior to a satisfactory extent. A simulation network of a part of the A15 highway containing the junctions Ridderkerk...
master thesis 2016
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Wang, M. (author), Hoogendoorn, S.P. (author), Daamen, W. (author), van Arem, B. (author), Happee, R. (author)
This contribution puts forward a flexible approach to model the decision-making or design controller for automated driving systems, where tactical-level lane change decisions and control-level accelerations are jointly evaluated based on iteratively solving an online optimization problem. The key idea is that automated vehicles determine lane...
conference paper 2016
Searched for: subject:"intelligent%5C+vehicles"
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