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适用于单体与铰接式自动驾驶车辆的可扩展高速横向控制

Scalable High-Speed Lateral Control for Single-Body and Articulated Autonomous Vehicles

Aashish Shaju, Steve Southward, Mehdi Ahmadian

arXiv 2608.08293首次发表:更新:

AI 中文总结

本文提出一种可扩展横向控制框架,通过对基于回旋曲线的控制器改进,结合灵活跟踪点选择与仿真验证,实现单体与铰接式自动驾驶车辆的高速鲁棒路径跟踪。

AI 中文摘要

本文提出了一种可扩展的横向控制框架,用于实现单体与铰接式自动驾驶车辆在高速下的鲁棒路径跟踪。对基于回旋曲线(clothoid)的控制器进行了三项关键改进:1)集成切线检查与弗雷歇距离(Frechet distance)方法,用于优化预瞄范围并抑制振荡;2)实时轨迹段分类,用于动态调整预瞄搜索范围;3)双自适应、速率控制的预瞄机制,可响应横向偏差与前方路径几何特征。为适配不同车辆配置,该框架还纳入了灵活的跟踪点选择与曲率-转向角查找表,可在不改变核心控制架构的情况下,控制牵引车后轴、铰接点或挂车相关位置等跟踪点。通过高保真的TruckSim与Simulink仿真,对单体与铰接式车辆在双车道变换、蜿蜒道路场景下进行了评估。结果表明,该控制器在不同车辆配置下可实现稳定的高速路径跟踪,振荡减少,预瞄自适应效果良好,横向偏差低,侧向加速度处于可接受范围。这些结果支持采用统一的横向控制架构,该架构可从单体车辆扩展至铰接式自动驾驶车辆。

英文摘要

This paper presents a scalable lateral control framework for robust path tracking of single-body and articulated autonomous vehicles at high speeds. A clothoid-based controller is extended with three key adaptations: 1) an integrated tangential check and Frechet distance method for optimized lookahead and oscillation mitigation; 2) real-time trajectory segment classification for dynamic adjustment of the lookahead search range; and 3) a dual-adaptive, rate-controlled lookahead mechanism responsive to cross-track error and upcoming path geometry. To support different vehicle configurations, the framework also incorporates flexible tracking point selection and curvature-to-steering lookup tables, enabling control of points such as the tractor rear axle, hitch point, or trailer-related locations without changing the core control architecture. The controller is evaluated using high-fidelity TruckSim and Simulink simulations for both standalone and articulated vehicles across dual lane changes and winding-road scenarios. Results demonstrate stable high-speed path tracking, reduced oscillations, effective lookahead adaptation, low cross-track errors, and acceptable lateral acceleration across different vehicle configurations. The results support the use of a unified lateral control architecture that can scale from single-body to articulated autonomous vehicles.

CommentsPresented as the plenary presentation at the 29th International Symposium on Dynamics of Vehicles on Roads and Tracks (IAVSD 2025), Shanghai, China, August 18-22, 2025. Proceedings forthcoming in Springer Lecture Notes in Mechanical Engineering

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