Dynamic motion planning for autonomous vehicle in unknown environments

Pan Zhao, Jiajia Chen, Tao Mei, Huawei Liang
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引用次数: 51

Abstract

A dynamic motion planning approach for an autonomous vehicle navigated without GPS and unmanned driven in unknown environments is presented. The unknown environments bring several technology challenges, including high-speed operation, complex interaction with environment, parking in unstructured lots, and passing dynamic obstacles. In this approach, we combine the global path planning and the local path planning with a hierarchical structure. The exploration method to navigate in unknown environments is described in detail. An autonomous vehicle, Intelligent Pioneer, was developed to verify the dynamic motion planning approach. The Intelligent Pioneer showed good performances in dynamic motion planning and won the first prize of the 2010 Future Challenge of Intelligent Vehicles in China.
未知环境下自动驾驶汽车的动态运动规划
提出了一种无GPS导航无人驾驶汽车在未知环境下的动态运动规划方法。未知环境带来了一些技术挑战,包括高速运行、与环境的复杂交互、在非结构化停车场停车以及通过动态障碍物等。在这种方法中,我们将全局路径规划和局部路径规划结合起来,采用分层结构。详细介绍了在未知环境中导航的探索方法。开发了一辆自动驾驶汽车智能先锋(Intelligent Pioneer)来验证动态运动规划方法。智能先锋在动态运动规划方面表现出色,荣获2010年中国智能汽车未来挑战赛一等奖。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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