Zobrazeno 1 - 10
of 42
pro vyhledávání: '"David Abbink"'
General Optimal Trajectory Planning: Enabling Autonomous Vehicles with the Principle of Least Action
Autor:
Heye Huang, Yicong Liu, Jinxin Liu, Qisong Yang, Jianqiang Wang, David Abbink, Arkady Zgonnikov
Publikováno v:
Engineering, Vol 33, Iss , Pp 63-76 (2024)
This study presents a general optimal trajectory planning (GOTP) framework for autonomous vehicles (AVs) that can effectively avoid obstacles and guide AVs to complete driving tasks safely and efficiently. Firstly, we employ the fifth-order Bezier cu
Externí odkaz:
https://doaj.org/article/0152e0766792456e83e98eebf7928eab
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-11 (2022)
Abstract People seem to hold the human driver to be primarily responsible when their partially automated vehicle crashes, yet is this reasonable? While the driver is often required to immediately take over from the automation when it fails, placing s
Externí odkaz:
https://doaj.org/article/2970dd2193724839b401eabd17c72675
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-13 (2020)
Most driver models were designed for specific scenario. Here, the authors developed a driver behaviour model that can be applied to multiple scenarios and show that human-like driving behaviour emerges when the Driver’s Risk Field is coupled to a c
Externí odkaz:
https://doaj.org/article/3b35f4701125479494e2a9d9432a6021
Publikováno v:
Transportation Research. Part F: Traffic Psychology and Behaviour, 94
Overtaking on two-lane roads can lead to increased collision risks due to drivers' errors in evaluating whether or not to accept the gap to the vehicle in the opposite lane. Understanding these gap acceptance decisions can help mitigate the risks ass
Publikováno v:
ACM Transactions on Human-Robot Interaction, 11(4)
A major challenge for autonomous vehicles is interacting with other traffic participants safely and smoothly. A promising approach to handle such traffic interactions is equipping autonomous vehicles with interaction-aware controllers (IACs). These c
Autor:
Luciano Cavalcante Siebert, Maria Luce Lupetti, Evgeni Aizenberg, Niek Beckers, Arkady Zgonnikov, Herman Veluwenkamp, David Abbink, Elisa Giaccardi, Geert-Jan Houben, Catholijn M. Jonker, Jeroen van den Hoven, Deborah Forster, Reginald L. Lagendijk
Publikováno v:
AI and Ethics
How can humans remain in control of artificial intelligence (AI)-based systems designed to perform tasks autonomously? Such systems are increasingly ubiquitous, creating benefits - but also undesirable situations where moral responsibility for their
Automated vehicles (AVs) can bring about numerous benefits for society but they are unprepared to enter our roads yet, in large part because of the difficulties in interacting with humans around them. Addressing this issue requires not only developin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b6332ad39a8e8f188982148c11f42255
https://doi.org/10.31234/osf.io/3cu8b
https://doi.org/10.31234/osf.io/3cu8b
Publikováno v:
CHI 2023-Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
In this paper, we problematize popular narratives of driving automation. Whether positive or negative, these propagate simplistic assumptions about human abilities and reinforce technocratic approaches to mobility innovation. We build on narrative ap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::047e762ae7673512be69f168e3591ad4
http://resolver.tudelft.nl/uuid:9d16b556-3943-4fcf-8fff-59ed2abd3950
http://resolver.tudelft.nl/uuid:9d16b556-3943-4fcf-8fff-59ed2abd3950
Publikováno v:
PRIMA 2022: Principles and Practice of Multi-Agent Systems ISBN: 9783031212024
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc3d89b4ecb9fe6d0576a0a911af3c5b
https://doi.org/10.1007/978-3-031-21203-1_40
https://doi.org/10.1007/978-3-031-21203-1_40
Publikováno v:
Human Factors: the journal of the human factors and ergonomics society
ObjectiveWe aim to bridge the gap between naturalistic studies of driver behavior and modern cognitive and neuroscientific accounts of decision making by modeling the cognitive processes underlying left-turn gap acceptance by human drivers.Background
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c4a48694abc134c834a653c0fcccca6d
http://resolver.tudelft.nl/uuid:94f0cff6-5eab-4024-afaf-f078cf03d194
http://resolver.tudelft.nl/uuid:94f0cff6-5eab-4024-afaf-f078cf03d194