日本フィジカルAI新聞

世界のフィジカルAIを、日本語で。

週刊ニュースレター購読
arXiv:2411.06425

Results of the 2023 CommonRoad Motion Planning Competition for Autonomous Vehicles

Results of the 2023 CommonRoad Motion Planning Competition for Autonomous Vehicles

シェア:XThreadsFacebookLINEはてブBluesky

著者: Niklas Kochdumper, Youran Wang, Johannes Betz, Matthias Althoff

分類: cs.RO

原文アブストラクト

In recent years, different approaches for motion planning of autonomous vehicles have been proposed that can handle complex traffic situations. However, these approaches are rarely compared on the same set of benchmarks. To address this issue, we present the results of a large-scale motion planning competition for autonomous vehicles based on the CommonRoad benchmark suite. The benchmark scenarios contain highway and urban environments featuring various types of traffic participants, such as passengers, cars, buses, etc. The solutions are evaluated considering efficiency, safety, comfort, and compliance with a selection of traffic rules. This report summarizes the main results of the competition.