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作 者:丁婉婷 王超 王逸凡 DING Wan-ting;WANG Chao;WANG Yi-fan(Shanghai SH Intelligent Automotive Technology Co.,Ltd.;Shanghai SEARI Intelligent System Co.,Ltd.)
机构地区:[1]上海淞泓智能汽车科技有限公司 [2]上海电科智能系统股份有限公司
出 处:《智能建筑与智慧城市》2025年第3期22-25,共4页Intelligent Building & Smart City
摘 要:路侧感知技术采集交通参与者位置信息、识别主要交通事件,为自动驾驶车辆提供超视距的感知信息,弥补自动驾驶车辆感知盲区。目前,车路协同路侧感知方式多以雷达和视觉为主,伴随着技术发展及产业升级,雷达与视觉感知技术本身也在不断迭代更新。文章以车路协同路侧感知技术的发展趋势为聚焦,对比路侧感知与常规交通感知的异同,梳理分析感知的技术原理及发展概要、路侧感知的内容及要求、产品格局及成本变化特点,在此基础上提出了未来车路协同路侧感知技术发展的趋势特征。Roadside perception technology collects the location information of traffic participants,identifies major traffic events,provides over-the-horizon perception information for autonomous vehicles,and compensates for the perception blind area of autonomous vehicles.At present,the roadside perception methods of vehicle-infrastructure collaboration are mainly based on radar and vision.However,with the development of technology and industrial upgrading,radar and visual perception technologies themselves are also constantly updated.This article focuses on the development trend of roadside perception technology for vehicleinfrastructure collaboration,compares the similarities and differences between roadside perception and conventional traffic perception,and sorts out and analyzes the technical principles and development summary of perception,the content and requirements of roadside perception,product pattern and cost change characteristics.On this basis,the future development trends of roadside perception technology for vehicle-infrastructure collaboration are proposed.
分 类 号:TP277[自动化与计算机技术—检测技术与自动化装置]
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