日本フィジカルAI新聞

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週刊ニュースレター購読
arXiv:2107.02413

DL-AMP and DBTO: An Automatic Merge Planning and Trajectory Optimization and Its Application in Autonomous Driving

DL-AMP and DBTO: An Automatic Merge Planning and Trajectory Optimization and Its Application in Autonomous Driving

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著者: Yuncheng Jiang, Qi Lin, Jiwei Zhang, Jun Wang, Danjian Qian, Yuxi Cai

分類: cs.RO, cs.SY, eess.SY

原文アブストラクト

This paper presents an automatic merging algorithm for autonomous driving vehicles, which decouples the specific motion planning problem into a Dual-Layer Automatic Merge Planning (DL_AMP) and a Descent-Based Trajectory Optimization (DBTO). This work leads to great improvements in finding the best merge opportunity, lateral and longitudinal merge planning and control, trajectory postprocessing and driving comfort.