基于Android平台的汽车辅助驾驶行驶距离检测预警系统的研究与实现

Hai Huang, Yang Liu, Jun Guo, Zhiru Yang, Lei Xiang, Bojing Cheng
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引用次数: 0

摘要

随着手机的快速发展,在现代智能手机上使用计算机视觉识别技术来帮助检测驾驶和距离是可能的。本文研究并实现了在Android平台上使用Yolo对行人和车辆的检测,根据Yolo的定位数据估计行人或车辆的距离,进而实现车辆辅助驾驶安全预警系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research and implementation of driving distance detection and warning system for automobile assisted driving based on Android platform
With the rapid development of mobile phones, it is possible to use computer vision recognition technology on modern smartphones to help detect driving and their distances. This paper studies and implements the detection of pedestrians and vehicles using Yolo on Android platform, and estimates pedestrian or vehicles distances based on its location data, and then implements a vehicle-assisted driving safety warning system.
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