Targeted trajectories optimization from 2D LIDAR measurements

Anh Vu, S. Kato
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引用次数: 2

Abstract

In many applications involving robotics and intelligent vehicles, high precision multi-target trajectories are needed for analysis, especially those associated with control and safety applications. This paper presents an optimization approach to obtain multiple targeted trajectories from a stationary 2D LIDAR along the LIDAR's measurement plane. The use of the 2D LIDAR allows this method to work in various environments (e.g. both indoor and outdoor) compared to Global Navigation Satellite Systems (GNSS) and vision based approaches. A cylinder with high reflectivity is attached to each of the targets of interest where the 2D LIDAR measurements correspond to these cylinders are extracted and the trajectories are estimated. This approach is robust toward short duration occlusions from dynamic objects (both targeted and non-targeted) moving in the environment. Preliminary data are presented in the experimental results which includes the processing of multi-target data.
2D激光雷达测量的目标轨迹优化
在许多涉及机器人和智能车辆的应用中,需要高精度的多目标轨迹进行分析,特别是与控制和安全应用相关的应用。本文提出了一种从固定二维激光雷达沿激光雷达测量平面获取多个目标轨迹的优化方法。与全球导航卫星系统(GNSS)和基于视觉的方法相比,2D激光雷达的使用允许该方法在各种环境(例如室内和室外)中工作。每个目标都附着一个具有高反射率的圆柱体,然后提取与这些圆柱体对应的二维激光雷达测量值并估计轨迹。这种方法对于环境中移动的动态物体(包括目标和非目标)的短时间遮挡具有鲁棒性。实验结果中给出了初步数据,包括多目标数据的处理。
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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