Searched for: subject%3A%22Autonomous%255C+vehicles%22
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Kortekaas, Joris J.A. (author), Beirigo, Breno A. (author), Schulte, F. (author)
A Dynamically Configurable Autonomous Vehicle (DCAV) is a new class of autonomous vehicle concept using a separable design of lower and upper parts—carriers and modules—to allow more flexible operation. A fleet of DCAVs consists of a set of carriers and a set of compatible modules. Different, possibly crowd-sourced, modules can increase the...
conference paper 2023
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Sigl, Martin (author), Prins, Binnert (author), Schutz, Christoph (author), Wagner, Sebastian (author), Schulte, F. (author), Watzenig, Daniel (author)
One of the major challenges in the development of Automated Driving is its assessment. It is expected that Automated Vehicles behave differently than human drivers. Therefore, mixed human-robot traffic will yield different and new driving situations as human-only traffic. It is important to know how this mixed traffic will change the...
conference paper 2023
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Voogd, Kevin (author)
Autonomous driving is attracting growing attention because of the potential advantages it poses on safety, leisure, energy efficiency, reduced emissions, and traffic reduction. Current research is focusing on areas related to artificial intelligence to solve complex planning and decision-making tasks, object detection, or simultaneous...
master thesis 2022
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Sie, Anand (author)
Ongoing research in autonomous driving currently focuses on creating new applications for autonomous vehicles (AV) and connected autonomous vehicles (CAV). Specifically, motion planning and control solutions are being developed based on the combination of Artificial Potential Functions (APF) with economic Model Predictive Control (eMPC). These...
master thesis 2022
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Ferreira de Brito, B.F. (author)
Autonomous robots will profoundly impact our society, making our roads safer, reducing labor costs and carbon dioxide (CO2) emissions, and improving our life quality. However, to make that happen, robots need to navigate among humans, which is extremely difficult. Firstly, humans do not explicitly communicate their intentions and use intuition...
doctoral thesis 2022
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Gomez Beldarrain, Garoa (author)
Vehicle automation will increasingly release car drivers from driving tasks, allowing them to engage in previously inconceivable activities. Experiential components are therefore expected to become central in human automotive mobility. In this context, the design of future in-vehicle experiences is a research gap to still discover, that concerns...
master thesis 2022
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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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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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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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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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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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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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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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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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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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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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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
Searched for: subject%3A%22Autonomous%255C+vehicles%22
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