基于模糊推理的汽车辅助驾驶系统控制算法  

Algorithm for driver assistance system based on fuzzy inference

作　　者：于立萍[1] 刘法胜[1] 

机构地区：[1]山东科技大学,山东青岛266510

出　　处：《计算机工程与应用》2007年第7期221-223,共3页Computer Engineering and Applications

基　　金：国家"十五"科技攻关项目(No.2002BA404A21)

摘　　要：在建立汽车辅助驾驶系统模型的基础上,指出满足驾驶员的驾驶特征是车辆控制的一个重要指标,此外针对驾驶员驾驶行为的不精确性,提出了以模糊推理为基础的上位控制方法,并对其进行了现场实验。实验结果表明,用模糊控制理论模拟驾驶行为的不精确性是可行的。通过模糊控制自车的速度,能够实现自车在多种工况下保持安全状态。In this paper a driver-assistance system model is presented first and it is pointed out that satisfying the driving behavior is an important index for vehicle controlling.Taking individual driver＇s behavior into account,the upper controller based on fuzzy inference is given out.Experiments prove the effectiveness of our fuzzy controller based on simulation for inaccuracy of driving.It can keep the vehicle in safe states under various driving conditions.

关 键 词：模糊推理 汽车 控制 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]