Searched for: subject%3A%22Autonomous%255C+vehicles%22
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AMBADI OMANAKUTTANNAIR, NEERAJ KUMAR (author)
The European Commission has mandated the requirement of advanced safety features in all vehicles sold in the EU from 2022 onwards. This will help drivers get gradually used to ADS, eventually transitioning to fully autonomous driving in the distant future. There are more vehicles on road now equipped with lane-keeping systems and other driver...
master thesis 2022
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de Gelder, E. (author), Hof, Jasper (author), Cator, Eric (author), Paardekooper, Jan Pieter (author), Camp, Olaf Op den (author), Ploeg, Jeroen (author), De Schutter, B.H.K. (author)
The development of assessment methods for the performance of Automated Vehicles (AVs) is essential to enable the deployment of automated driving technologies, due to the complex operational domain of AVs. One candidate is scenario-based assessment, in which test cases are derived from real-world road traffic scenarios obtained from driving...
journal article 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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Alves Beirigo, B. (author), Negenborn, R.R. (author), Alonso-Mora, J. (author), Schulte, F. (author)
With the popularization of transportation network companies (TNCs) (e.g., Uber, Lyft) and the rise of autonomous vehicles (AVs), even major car manufacturers are increasingly considering themselves as autonomous mobility-on-demand (AMoD) providers rather than individual vehicle sellers. However, matching the convenience of owning a vehicle...
journal article 2022
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De Ceunynck, Tim (author), Pelssers, Brecht (author), Bjørnskau, Torkel (author), Aasvik, Ole (author), Fyhri, Aslak (author), Laureshyn, Aliaksei (author), Johnsson, Carl (author), Hagenzieker, Marjan (author), Martensen, Heike (author)
The current paper presents the results of behavioural observations in a field experiment with automated shuttles in Oslo, Norway. Video observations were conducted at five fixed locations along a challenging 1.2 km automated shuttle line with varying traffic conditions. Observed interactions between vulnerable road users and automated shuttles...
journal article 2022
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Los, J. (author), Schulte, F. (author), Spaan, M.T.J. (author), Negenborn, R.R. (author)
The trends of autonomous transportation and mobility on demand in line with large numbers of requests increasingly call for decentralized vehicle routing optimization. Multi-agent systems (MASs) allow to model fully autonomous decentralized decision making, but are rarely considered in current decision support approaches. We propose a multi...
conference paper 2022
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Bouwmeester, W. (author), Fioranelli, F. (author), Yarovoy, Alexander (author)
A method to compute road surface signatures in the automotive scenario is presented. This method is subsequently applied to a rough asphalt surface without undulations. It is shown that, due to the observation geometry, the road surface signature experiences significant spreading along the Doppler-axis, resulting in a distinct range-Doppler map...
conference paper 2022
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Gao, Xin (author), Li, Xueyuan (author), Liu, Qi (author), Li, Z. (author), Yang, Fan (author), Luan, Tian (author)
As one of the main elements of reinforcement learning, the design of the reward function is often not given enough attention when reinforcement learning is used in concrete applications, which leads to unsatisfactory performances. In this study, a reward function matrix is proposed for training various decision-making modes with emphasis on...
journal article 2022
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Raju, Narayana (author), Schakel, W.J. (author), Reddy, N. (author), Dong, Y. (author), Farah, H. (author)
Automated driving systems, which can take over certain dynamic driving tasks from the driver, are becoming increasingly available in commercial vehicles. One of these automated driving systems widely introduced in commercial vehicles is Adaptive Cruise Control (ACC). This system is designed to maintain certain desired driving speeds and time...
journal article 2022
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Dubey, S.K. (author), Sharma, Ishant (author), Mishra, Sabyasachee (author), Cats, O. (author), Bansal, Prateek (author)
Due to the unavailability of prototypes, the early adopters of novel products actively seek information from multiple sources (e.g., media and social networks) to minimize the potential risk. The existing behavior models not only fail to capture the information propagation within the individual's social network, but also they do not...
journal article 2022
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Wijlens, R. (author), van Paassen, M.M. (author), Mulder, Max (author), Takamatsu, Atsushi (author), Makita, Mitsuhiro (author), Wada, Takahiro (author)
Without intervention the widespread adoption of autonomous vehicles could be compromised by an increased incidence of motion sickness compared to conventional cars. To investigate whether passengers' motion sickness can be reduced by manipulating an autonomous vehicle's accelerations on a fixed route without altering the travel time, a human...
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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van Oosterhout, Rosalie (author)
CO2 emission of vehicles and its influence on climate change is a widely discussed topic already for many years. New CO2 emission norms for vehicles have been defined based on the 2021 baseline: 15% reduction resulting in 0.09 kg/km for 2025, and 37.5% reduction resulting in 0.069 kg/km for 2030. Both norms are defined under the Worldwide...
master thesis 2021
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Latyšov, Sever (author)
Around the world millions of people get injured due to traffic accidents. Autonomous vehicles are expected to significantly reduce these numbers. To increase safety, autonomous vehicle communication can be used. Current vehicle communication networks called VANETs have security and privacy protection problems and the vehicle industry is...
bachelor thesis 2021
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Uğurlu, Ceren (author)
Over the last two decades, autonomous driving has progressed from science fiction to a real possibility and rapidly developing. However, autonomous driving technology has significant weaknesses and is not safe in unexpected conditions. As a result, automobile manufacturers insist that the driver remains in the driver's seat even while the...
bachelor thesis 2021
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Uğurlu, Irem (author)
Automated driving is a rapidly growing technology nowadays. Semi-automated driving is a subpart of automated driving which has multiple driving modes where both driver and automated module can take control. But full safety and comfort guarantees cannot still be given to the drivers. In this project, research has been done to ensure driver safety...
bachelor thesis 2021
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Latoškinas, Evaldas (author)
Semi-autonomous driving innovations aim to bridge the gap to fully autonomous driving by co-operating with human drivers to lead to optimal choices on who should drive in different scenarios by offering different automation levels. However, in the present day, known semi-autonomous driving solutions do not generalise to every complex case of...
bachelor thesis 2021
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Bakos, Csanád (author)
Transitioning to use automated vehicles is a gradual process. Until full automation capabilities are developed there is a need to mediate which driving entity - human or autonomous driving system (ADS) - should be in control depending on the circumstances. This research aims at investigating the switching between manual and automated driving in...
bachelor thesis 2021
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Zoon, Job (author)
In the past few years, there has been much research in the field of Autonomous Vehicles (AV). If AVs are implemented in our daily lives, this could have many advantages. Before this can happen, safe driver models need to be designed which control the AVs. One technique that is suitable to create these models is Reinforcement Learning (RL). A...
master thesis 2021
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Goettsch, Evita (author)
Our personal mobility systems will undergo a significant transformation with the emergence of electrified drivetrains, shared services, and autonomous technology (Sprei, 2018). We can already plan door-to-door transport, share various mobility modes, drive fully electric cars, and several vehicles can assist with some driving functions like...
master thesis 2021
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