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A Review Paper on Automotive Crash Prediction and Notiication Technologies

机译:汽车碰撞预测和通知技术的评论论文

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The objective of this work is to provide brief review on the technologies proposed to predict the collision between vehicles, before the collision happens itself and smart activation of safety systems like air bag deployment, seat belt tightening. This paper also cover the review on the accident notification schemes proposed once the accident is predicted. At the later part of this paper, an ideal model for the accident prediction and notification system schematic is given. Most of the existing sensor system for automotive adaptive cruise control and collision avoidance uses the radar and laser technology for operation. The main disadvantage of those system is that it will work only if theater space between vehicles is greater than 1 m. This traditional sensor system is not up to detect the possibility of collision when inter vehicle spacing is small. We cannot actually relay on the collision detection mechanism which is based on sensing at larger distances. Hence in automotive industry, research on system which can predict the imminent collision just before the collision occurs has a great consideration and the sensor system development mainly concentrates on the relative velocity mea-cerement of the vehicles. An isotropic magneto-resistive (AMR)and sonar/ultrasonic sensors are adopted for development of the proposed sensor system. AMR sensors are used to measure the magnetic field and to get the relative position of vehicles. The main aim of the object is to develop a unique sensor system which can be used to estimate the planer position and orientation of vehicles to avoid vehicle collision by effectively predicting the possibility for collision. Once the accident is predicted, the camera system embedded in the vehicle will get activated and will capture snaps to gather information of the vehicles near tithe host vehicle. Once accident happens intimation in the form of alert message including accident location long with the snap information will be send to nearb- hospitals or police station using GSM module.
机译:这项工作的目的是对碰撞发生之前预测车辆之间碰撞的技术以及安全系统的智能启动(如安全气囊展开,安全带拉紧)的简要介绍进行简要回顾。本文还涵盖了一旦预测到事故就提议的事故通知计划的审查。在本文的后半部分,给出了事故预测和通知系统示意图的理想模型。现有的大多数用于汽车自适应巡航控制和避免碰撞的传感器系统都使用雷达和激光技术进行操作。这些系统的主要缺点是,仅当车辆之间的影院空间大于1 m时,该系统才能工作。当车辆间距很小时,这种传统的传感器系统无法检测到碰撞的可能性。我们实际上不能依靠基于较大距离感应的碰撞检测机制。因此,在汽车工业中,对能够在碰撞发生之前预测即将发生的碰撞的系统的研究受到了广泛的考虑,并且传感器系统的开发主要集中在车辆的相对速度测量上。采用各向同性的磁阻(AMR)和声纳/超声波传感器来开发所提出的传感器系统。 AMR传感器用于测量磁场并获取车辆的相对位置。该目的的主要目的是开发一种独特的传感器系统,该传感器系统可用于估计车辆的平面位置和方向,从而通过有效地预测发生碰撞的可能性来避免车辆碰撞。一旦预测到事故发生,嵌入在车辆中的摄像头系统将被激活并捕捉快照以收集什一本车附近的车辆信息。一旦发生事故,警报信息将以警报消息的形式(包括事故发生地点)与警报信息一起发送给附近的医院或派出所,并使用GSM模块将其发送给附近的医院或警察局。

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