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Laser based collision warning system for high conflict vehicle-pedestrian zones

机译:基于激光的高冲突车辆行人区域碰撞预警系统

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A collision risk estimation plays a crucial role in both driver and pedestrian safety in advanced driver assistance systems (ADAS) and autonomous vehicle navigation(AVN). In the proposed approach, an object warning collision system is implemented using a laser sensor. We focus on high conflict vehicle/pedestrian zones within a range of [20km/h, 30km/h]. The proposed method was implemented in four steps. Firstly, the lane region surface located ahead of the vehicle is detected. Secondly, a collision risk region is determined by using the vehicle required stopping distance. Thirdly, the objects within the lane surface region and the collision risk region are detected. Then for the all detected object, the centroid, radius information are extracted. Lastly, in order to prevent accidents as possible a collision risk estimation is implemented. Preliminary results were performed and tested on a group of consecutive frame captured while in motion to prove its effectiveness.
机译:在高级驾驶员辅助系统(ADAS)和自动驾驶汽车导航(AVN)中,碰撞风险估算在驾驶员和行人安全中都起着至关重要的作用。在所提出的方法中,使用激光传感器来实现物体警告碰撞系统。我们专注于[20km / h,30km / h]范围内的高冲突车辆/行人专用区。所提出的方法分四个步骤实施。首先,检测位于车辆前方的车道区域表面。其次,通过使用车辆要求的停止距离来确定碰撞危险区域。第三,检测车道表面区域和碰撞危险区域内的物体。然后,对于所有检测到的物体,提取质心半径信息。最后,为了尽可能地防止事故发生,进行碰撞风险估计。在运动中捕获的一组连续帧上执行并测试了初步结果,以证明其有效性。

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