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Pedestrian Collision Avoidance Method Based on Cooperative Vehicle Infrastructure Systems

机译:基于协同车辆基础设施系统的行人防撞方法

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In-vehicle devices for pedestrian detection and collision avoidance are gradually attracted attention. The existing in-vehicle pedestrian detection devices (radar, infrared, camera, and so on) can only detect obstacles within a certain vision, which can't meet the requirement of high-speed environment application. In addition, the existing in-vehicle devices can't used for pedestrian collision avoidance in complex intersections and for pedestrian covered by in front vehicles. Based on the Cooperative Vehicle Infrastructure System (CVIS) technology, Vehicles and roadside equipments can share pedestrian detection information. In this paper, pedestrian detection and collision avoidance system framework is designed based on CVIS technology. In this system, vehicle and roadside equipment can detect pedestrian separately based on pedestrian detection algorithm. The integrated system can collect multi-source pedestrian information, implement data fusion and match all information in on map. By data fusion, the processor can identify the risk of pedestrian collisions with vehicles. Through this framework realization, it can expand the detection range of pedestrian to vehicles and improve detection accuracy.
机译:用于行人检测和避免碰撞的车载装置逐渐受到关注。现有的车载行人检测设备(雷达,红外,摄像机等)只能检测到一定视野内的障碍物,无法满足高速环境应用的要求。此外,现有的车载设备无法用于避免复杂交叉路口的行人碰撞和前车所覆盖的行人。基于协作车辆基础设施系统(CVIS)技术,车辆和路边设备可以共享行人检测信息。本文基于CVIS技术设计了行人检测与避碰系统框架。在该系统中,车辆和路边设备可以基于行人检测算法分别检测行人。该集成系统可以收集多源行人信息,实现数据融合并匹配地图上的所有信息。通过数据融合,处理器可以识别行人与车辆相撞的风险。通过该框架的实现,可以扩大行人对车辆的检测范围,提高检测精度。

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