Design and Implementation of Vehicle Safety Robot Based on Computer Vision

Yuankai Ma, Xubo Liu, Jiahang Bao, C. Liu, Zhitao Dai
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引用次数: 1

Abstract

This paper designs and implements a vehicle safety robot based on machine vision. When a car breaks down on the highway, the robot can automatically drive to the designated location, place a warning triangle, monitor the coming vehicles, and give the driver an alarm when necessary. The robot can automatically drive back when ordered. The robot uses Lane Detection Algorithm based on OpenCV to detect road line and adjust its driving gesture dynamically, an Optical Flow Alarming Algorithm is implemented to monitor the coming vehicle, and the communication is implemented through a 2.4 GHz module. Through experiments, we measure the TPR (true positive rate) of the Lane Detection Algorithm, we also test the end-to-end computing time of the system and test the stability of the communication of the system. The analysis shows that the design and implementation of the system can meet the requirement of the highway scenario.
基于计算机视觉的车辆安全机器人设计与实现
本文设计并实现了一种基于机器视觉的车辆安全机器人。当汽车在高速公路上发生故障时,机器人可以自动驾驶到指定位置,放置警告三角形,监视来袭车辆,并在必要时向驾驶员发出警报。机器人可以根据指令自动返回。该机器人采用基于OpenCV的车道检测算法对道路线进行检测并动态调整其驾驶姿态,采用光流报警算法对来袭车辆进行监控,通过2.4 GHz模块实现通信。通过实验,我们测量了车道检测算法的TPR(真阳性率),测试了系统的端到端计算时间,测试了系统的通信稳定性。分析表明,该系统的设计和实现能够满足高速公路场景的要求。
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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