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作 者:张云飞 李斌 杨良义 韩中海[1,2] ZHANG Yunfei;LI Bin;YANG Liangyi;HAN Zhonghai(National Key Laboratory of Intelligent Vehicle Safety Technology,Chongqing 401122,China;China Automotive Engineering Research Institute Company Limited,Chongqing 401122,China)
机构地区:[1]智能汽车安全技术全国重点实验室,重庆401122 [2]中国汽车工程研究院股份有限公司,重庆401122
出 处:《汽车实用技术》2025年第8期22-28,共7页Automobile Applied Technology
基 金:中国汽车工程研究院股份有限公司科研项目(0002KTCP20230880):智能驾驶系统实车测试技术能力提升。
摘 要:提出一种融合插值测量和单目测距的盲区安全预警方法,旨在为驾驶员提供足够的反应时间,以有效规避潜在的交通事故风险。通过YOLOv3算法对视野盲区障碍物进行实时、高精度检测;采用单目测距技术,结合摄像机的内外参数以及障碍物的图像特征,初步估算出视野盲区障碍物与车辆之间的距离;引入插值测量技术,结合预先在已知距离下采集的精确测量点,动态地校正和优化测距结果;综合考虑驾驶员在应对突发状况时的反应时间、车速以及摩擦系数等因素,计算出视野盲区安全预警距离,并精确判断何时发出安全预警信号。实验结果表明,该方法能准确检测出车辆周围的盲区障碍物,实时测量出其与车辆之间的距离,并提前发出预警信号,从而显著提升了车辆的行驶安全性。A safety warning method for blind field of vision combining interpolation measurement and monocular distance measurement is proposed to provide sufficient response time for drivers and effectively avoid potential traffic accident risks.Real time and high-precision detection of blind spots and obstacles vision using YOLOv3 algorithm;Using monocular ranging technology,utilizing the internal and external parameters of the camera and the image features of obstacles,the distance between blind spots and obstacles in the field of view and vehicles is preliminarily estimated;Further introduce interpolation measurement technology to dynamically correct and optimize distance measurement results by collecting precise measurement points at known distances in advance;Taking into account the reaction time,vehicle speed,and friction coefficient of vehicles when responding to emergencies,calculate the safety warning distance of blind spots field of view,and accurately determine when to issue a safety warning.The experimental results show that this method can accurately detect blind spots and obstacles around vehicles,measure the distance between them in real time,and issue warning signals in advance,driving safety of the vehicle can be significantly improved.
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