Enhancing Planning for Autonomous Driving via an Iterative Optimization Framework Incorporating Safety-Critical Trajectory Generation

Ensuring the safety of autonomous vehicles (AVs) in complex and high-risk traffic scenarios remains a critical unresolved challenge. Current AV planning methods exhibit limitations in generating robust driving trajectories that effectively avoid collisions, highlighting the urgent need for improved...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Zhen Liu, Hang Gao, Yeting Lin, Xun Gong
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2024-10-01
Schriftenreihe:	Remote Sensing
Schlagworte:	autonomous driving remote sensing safety-critical trajectory generation iterative optimization framework
Online-Zugang:	https://www.mdpi.com/2072-4292/16/19/3721
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