论文标题

基于优化的道路计划

Optimization-Based On-Road Path Planning for Articulated Vehicles

论文作者

Oliveira, Rui, Ljungqvist, Oskar, Lima, Pedro F., Wahlberg, Bo

论文摘要

在狭窄的道路上操纵一辆铰接式车辆通常是人类驾驶员的一项具有挑战性的任务。除非车辆准确地转向,否则车辆的一部分可能会超过其指定的驱动车道,从而增加与周围交通相撞的风险。在这项工作中,提出了一种基于优化的路径规划算法,针对由拖拉机和拖车组成的清晰车辆的公路驾驶场景。为此,我们将拖拉机拖车车辆建模为适合公路规划的公路对准坐标框架。基于驱动启发式方法,提出了一组不同的优化目标,其总体目标是设计一个计算路径的路径计划器,该路径可以最大程度地减少车身扫荡区域的轨道,同时仍留在道路上并避免与障碍物发生碰撞。在模拟中,使用最具挑战性的拖拉机 - 拖车维度对基于优化的路径规划算法以及不同的优化目标以及不同的优化目标进行了评估和分析。

Maneuvering an articulated vehicle on narrow road stretches is often a challenging task for a human driver. Unless the vehicle is accurately steered, parts of the vehicle's bodies may exceed its assigned drive lane, resulting in an increased risk of collision with surrounding traffic. In this work, an optimization-based path-planning algorithm is proposed targeting on-road driving scenarios for articulated vehicles composed of a tractor and a trailer. To this end, we model the tractor-trailer vehicle in a road-aligned coordinate frame suited for on-road planning. Based on driving heuristics, a set of different optimization objectives is proposed, with the overall goal of designing a path planner that computes paths which minimize the off-track of the vehicle bodies swept area, while remaining on the road and avoiding collision with obstacles. The proposed optimization-based path-planning algorithm, together with the different optimization objectives, is evaluated and analyzed in simulations on a set of complicated and practically relevant on-road planning scenarios using the most challenging tractor-trailer dimensions.

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