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pro vyhledávání: '"Jan Eilbrecht"'
Autor:
Olaf Stursberg, Jan Eilbrecht
Publikováno v:
IFAC-PapersOnLine. 53:15588-15595
In the context of trajectory planning for autonomous vehicles, a widely used vehicle model relies on linear integrator dynamics. We consider planning with this model type, with a focus on the requirement to account for curved road topologies. As our
Autor:
Olaf Stursberg, Jan Eilbrecht
Publikováno v:
IFAC-PapersOnLine. 53:15396-15403
This paper proposes a framework for generation of collision-free reference trajectories in a cooperative multi-agent setting. The approach is hierarchical: a high-level controller schedules groups of cooperating agents, for which trajectories are the
Autor:
Jan Schneegans, Jan Eilbrecht, Stefan Zernetsch, Maarten Bieshaar, Konrad Doll, Olaf Stursberg, Bernhard Sick
Publikováno v:
2021 IEEE Intelligent Vehicles Symposium Workshops (IV Workshops).
Autor:
Jan Eilbrecht, Olaf Stursberg
Publikováno v:
European Journal of Control. 50:188-197
This article considers the problem of planning collision-free reference trajectories for autonomous vehicles. Because optimal solutions to the problem may be hard to obtain in real time, we devise a procedure which yields potentially suboptimal but f
Publikováno v:
IFAC-PapersOnLine. 50:10389-10394
This paper addresses the design of sparse, H2-optimized dynamic output feedback controllers for distributed systems. These systems consist of several physically remote subsystems, which are assumed to be controlled via local controllers. Depending on
Autor:
Jan Eilbrecht, Olaf Stursberg
Publikováno v:
2019 IEEE Intelligent Vehicles Symposium (IV).
This paper considers the problem of planning reference trajectories for cooperating autonomous vehicles. Our previous work [1] relied on mixed-integer quadratic programming (MIQP) for planning, while controllable sets of hybrid automata were used to
Autor:
Jan Eilbrecht, Olaf Stursberg
Publikováno v:
ECC
In this paper, a major challenge in the field of trajectory planning for autonomous on-road vehicles is addressed: to calculate trajectories efficiently and reliably. The proposed method is based on a cooperative maneuver automaton, in which each man
Autor:
Jan Eilbrecht, Maarten Bieshaar, Olaf Stursberg, Stefan Zernetsch, Bernhard Sick, Konrad Doll
Publikováno v:
SSCI
This article presents a hierarchical path planning framework that allows to generate plans for autonomous vehicles in the presence of vulnerable road users (VRUs), such as pedestrians and cyclists. Contrasting many existing approaches, the hierarchic
Publikováno v:
ITSC
Motion planning of automated vehicles requires dynamical models to ensure that obtained trajectories are drivable. An often overlooked aspect is that motion planning is usually done using simplified models, which do not always sufficiently conform to
Autor:
Olaf Stursberg, Jan Eilbrecht
Publikováno v:
Intelligent Vehicles Symposium
This paper aims at cooperatively resolving conflicts arising between several fully-autonomous, communicating vehicles in general on-road traffic scenarios. A hierarchical control scheme with two main units is proposed: A short-term planning unit dete