摘要
本文介绍了一种新的车辆智能型主动安全系统,系统运用分布式ECU,采用激光测距仪、超声波测距仪、红外测距仪对行驶车辆的周边环境状况实时监测,并进一步利用模糊神经网络模型判断路障和汽车周边的动态和静态状况,预测事故发生的可能。在危急状态,自动选择有效的避让或防御措施来防止事故发生,并采用声光报警,从而保证车辆的安全行驶。
In this paper, introduces a new intelligent initiative system for automobile security. In the System, a distributed ECU structure is applied, and the Laser distance detector, the ultrasonic distance detector and the infrared distance detector are used respectively for monitoring the surroundings of a mobile automobile in real time. Further, the fuzzy neural network model is used for judging the roadblocks and the dynamic and static states around the car, and predicts a possibility of an accident occurring. An effective measure is automatically selected and audio -light alarms are applied to prevent a car crash accident under an emergent state, so the security travel of the automobile could be assured.
出处
《自动化信息》
2005年第10期25-27,共3页
Automation Information