Benutzer: Gast  Login
Titel:

Rule-Compliant Multi-Agent Driving Corridor Generation using Reachable Sets and Combinatorial Negotiations

Dokumenttyp:
Konferenzbeitrag
Autor(en):
Tobias Mascetta, Edmond Irani Liu, Matthias Althoff
Abstract:
Multi-agent cooperative motion planning offers the potential to improve safety and the overall traffic flow. However, many approaches for multi-agent driving do not incorporate traffic rules or do not generalize to arbitrary scenarios. To address these open problems, we propose a novel method to negotiate individual rule-compliant driving corridors and independently plan trajectories for each controlled agent in them. We incorporate predictions into the conflict negotiation process to enable dec...     »
Stichworte:
Motion Planning, Driving Corridors, Multi-Agent
Kongress- / Buchtitel:
2024 IEEE Intelligent Vehicle Symposium (IV)
Jahr:
2024
TUM Einrichtung:
Cyber-Physical Systems Group
 BibTeX