基于断开GPS的雷达标定车辆定位

Jeong Sik Kim, Woo Young Choi, Yong Woo Jeong, C. Chung
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引用次数: 1

摘要

随着自动驾驶技术的发展,定位方法的研究变得越来越重要。在本文中,我们提出了全球定位系统(GPS)和雷达校准方法,以及基于V2X的雷达传感器的车辆定位方法。对于车辆定位,我们首先提出了GPS和雷达标定,这是一种解决检测点差异的方法。通过该标定,在GPS断开时,利用车辆底盘数据和雷达数据进行旋转变换,计算自我车辆的位置。定位过程通过将自我车辆的相对坐标与目标车辆的绝对坐标相加来估计自我车辆的绝对坐标。本文提出的这种方法的优点是,在有雷达的情况下,可以连续定位。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Vehicle Localization Using Radar Calibration with Disconnected GPS
As autonomous driving technology develops, research on localization methods is becoming more important. In this paper, we propose global positioning system (GPS) and radar calibration method, and vehicle localization method using a radar sensor based on vehicle to everything (V2X). For vehicle localization, we first propose GPS and radar calibration, which is a way to solve the differences between detection points. With this calibration, during disconnection of GPS, we calculate the position of the ego vehicle by using the rotational transform with vehicle chassis data and radar data. The localization process estimated the absolute coordinates of the ego vehicle by adding the relative coordinates of the ego vehicle and the absolute coordinates of the object vehicle. The advantage of this method what this paper proposes is that if radar is available, we can localize continuously.
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