arXiv:2507.10968cs.ROcs.SY2025-07中稿 · IEEE ITSC 2025

提出一种实时安全变道规划器,专为高速匝道强行并入设计。

SMART-Merge Planner: A Safe Merging and Real-Time Motion Planner for Autonomous Highway On-Ramp Merging

  • 基于格栅的规划方法,动态调整代价函数应对强制变道挑战。
  • 仿真中100%成功率达最优,合并时间最短,优于基线方法。
  • 适合自动驾驶高速并入场景,强调安全与舒适性兼顾。

高速匝道并入是一项复杂驾驶任务,需识别安全间隙、调整车速、常通过交互创造并入空间,并在有限时间内完成并入操作,同时保障安全与驾乘舒适性。本文提出一种基于格栅的实时安全并入规划器(SMART-Merge),专门用于实现安全且舒适的强制并入。通过针对强制并入特点动态调整代价项,并引入期望车速启发式策略,该规划器使自车高效完成并入,显著缩短合并时间。我们通过数百个高速并入场景的高保真CarMaker仿真验证了该方法的有效性与效率。结果表明,相比基线方法,本方法实现了100%的成功率,并在最短时间内完成并入,充分证明其处理复杂强制并入任务的能力,为自动驾驶高速并入提供了可靠、鲁棒的解决方案。仿真视频见 https://sites.google.com/view/smart-merge-planner/home。

原文摘要 · Abstract (English)

Merging onto a highway is a complex driving task that requires identifying a safe gap, adjusting speed, often interactions to create a merging gap, and completing the merge maneuver within a limited time window while maintaining safety and driving comfort. In this paper, we introduce a Safe Merging and Real-Time Merge (SMART-Merge) planner, a lattice-based motion planner designed to facilitate safe and comfortable forced merging. By deliberately adapting cost terms to the unique challenges of forced merging and introducing a desired speed heuristic, SMART-Merge planner enables the ego vehicle to merge successfully while minimizing the merge time. We verify the efficiency and effectiveness of the proposed merge planner through high-fidelity CarMaker simulations on hundreds of highway merge scenarios. Our proposed planner achieves the success rate of 100% as well as completes the merge maneuver in the shortest amount of time compared with the baselines, demonstrating our planner's capability to handle complex forced merge tasks and provide a reliable and robust solution for autonomous highway merge. The simulation result videos are available at https://sites.google.com/view/smart-merge-planner/home.

自动驾驶路径规划高速并入实时控制

Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品;中文卡片由大模型生成,请以原文为准。