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:2410.07845

Autonomous Vehicles Path Planning under Temporal Logic Specifications

Autonomous Vehicles Path Planning under Temporal Logic Specifications

シェア:XThreadsFacebookLINEはてブBluesky

著者: Akshay Dhonthi, Nicolas Schischka, Ernst Moritz Hahn, Vahid Hashemi

分類: cs.RO, cs.LO

原文アブストラクト

Path planning is an essential component of autonomous driving. A global planner is responsible for the high-level planning. It basically performs a shortest-path search on a known map, thereby defining waypoints used to control the local (low-level) planner. Local planning is a runtime verification method which is repeatedly run on the vehicle itself in real-time, so as to find the optimal short-horizon path which leads to the desired waypoint in a way which is both efficient and safe. The challenge is that the local planner has to take into account repeatedly incoming updates about the information available of the environment. In addition, it performs a complex task, as it has to take into account a large variety of requirements, originating from the necessity of collision avoidance with obstacles, respecting traffic rules, sticking to regulatory requirements, and lastly to reach the next waypoint efficiently. In this paper, we describe a logic-based specification mechanism which fulfills all these requirements.