Estimating ALV position in mountainous area

S. Suh, Jae-Kwan Kang, W. Jee, M. Jung, Kwang-Soo Kim
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引用次数: 6

Abstract

A method of position estimation for an ALV (autonomous land vehicle) using features of the skyline is presented. The skyline from the vision system is assumed given and is compared with a computer map, called the CAD-MAP. The algorithm consists of identifying the peak points in the camera skyline, computing the ALV position for the identified peak points, and searching for the corresponding peak point in the CAD-MAP. Heuristics for computational efficiency and solution accuracy are also included in the algorithm. To test the validity and effectiveness of the algorithm, numerous simulations were performed and analyzed.
山区ALV位置估算
提出了一种利用天际线特征对自动驾驶汽车进行位置估计的方法。从视觉系统得到的天际线假定是给定的,并与计算机地图(称为CAD-MAP)进行比较。该算法包括识别摄像机天际线中的峰值点,计算识别出的峰值点的ALV位置,并在CAD-MAP中搜索相应的峰值点。算法中还包含了计算效率和求解精度的启发式。为了验证该算法的有效性,进行了大量的仿真分析。
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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