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pro vyhledávání: '"Oliver Speidel"'
Automated driving in urban scenarios requires efficient planning algorithms able to handle complex situations in real-time. A popular approach is to use graph-based planning methods in order to obtain a rough trajectory which is subsequently optimize
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::05432c895b647c8124e6734de24fa72f
http://arxiv.org/abs/2102.07812
http://arxiv.org/abs/2102.07812
Autor:
Ankit Kaushik, Thanh Phan-Huu, Klaus Dietmayer, Oliver Speidel, Andreas Wedel, Maximilian Graf
Efficient trajectory planning for urban intersections is currently one of the most challenging tasks for an Autonomous Vehicle (AV). Courteous behavior towards other traffic participants, the AV's comfort and its progression in the environment are th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::51b060e6237775253a1de1b448fec49b
http://arxiv.org/abs/2010.03345
http://arxiv.org/abs/2010.03345
The Institute of Measurement, Control and Microtechnology at Ulm University investigates advanced driver assistance systems for decades and concentrates in large parts on autonomous driving. It is well known that motion planning is a key technology f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de442cc8ca43f0dfbedbdab328dee89b
Publikováno v:
ITSC
Efficient behavior and trajectory planning is one of the major challenges for automated driving. Especially intersection scenarios are very demanding due to their complexity arising from the variety of maneuver possibilities and other traffic partici
Publikováno v:
2019 IEEE Intelligent Vehicles Symposium (IV).
A main difficulty in autonomous driving is the assurance of maneuver acceptability by other traffic participants. Thus, knowledge about social interaction needs to be incorporated into the motion planning process. In this paper we present a model bas
Publikováno v:
2019 IEEE Intelligent Vehicles Symposium (IV).
Overtaking is a challenging task in the field of autonomous driving, especially on roads with an opposite lane and oncoming vehicles. Since trajectory planning is repeated cyclic it is highly important to trigger the maneuver only if it is guaranteed
Publikováno v:
ITSC
Behavioral-specific trajectory planning for auto- mated vehicles is an intensively explored research topic. Many situations in daily traffic, e.g. following a leading vehicle or stopping behind it, require knowledge about how the scene may evolve. In
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f1bba2c381a8e590c3b164aabc4a5797