Trajectory Planning for Autonomous Vehicle Using Digital Map

Jure Bajić, M. Herceg, Ivan Resetar, I. Velikic
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引用次数: 1

Abstract

In this paper, an algorithm for autonomous vehicle trajectory planning is proposed. The proposed algorithm consists of two parts. In the first part, transformation of given coordinates from Cartesian system to Frenet-Serret system is applied, along with interpolation of points in trajectory. In the second part, most efficient trajectory is being chosen and optimized. The algorithm was developed in Udacity’s simulator, where it was tested and compared with other similar algorithms. The algorithm shows promising performance through testing.
基于数字地图的自动驾驶汽车轨迹规划
本文提出了一种自动驾驶车辆轨迹规划算法。该算法由两部分组成。在第一部分中,将给定坐标从笛卡尔坐标系转换为弗莱内特-瑟雷特坐标系,并对轨迹中的点进行插值。在第二部分,选择和优化最有效的轨迹。该算法是在Udacity的模拟器中开发的,在那里进行了测试,并与其他类似算法进行了比较。经过测试,该算法具有良好的性能。
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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