摘要
研究并提出了基于多传感器信息融合的动态目标跟踪算法来实现防撞系统的信息获取,并引入预测残留误差来修正跟踪残留误差不能完全反映不可预测的信息所带来的误差;研究了驾驶过程状态信息的表达方法,建立了汽车-环境状态特征模型,描述了汽车在行驶过程中时变动态的驾驶状态。在此基础之上,利用模糊积分方法融合多种相关信息,确定汽车应采用的安全运行模式实现主动安全防撞决策。
An algorithm for knowledge acquirement of the collision avoidance system based on dynamic target tracking with the method of multisensor information fusion is presented in this paper, and predicted residual error is introduced to modify the error caused by the unpredicted information that is not represented completely by residual track error. This paper also studies the representation approaches of state information during driving and establishes vehicle-surroundings state feature model to illustrate the variable and dynamic state of running vehicles. Then, a pertinent information fusion method based on fuzzy integral is presented, and it can make a decision for traveling model and realize active safety.
出处
《系统仿真学报》
CAS
CSCD
2004年第7期1589-1592,1596,共5页
Journal of System Simulation
基金
国家自然科学基金资助项目(69674012)
关键词
汽车安全
信息融合
特征模型
防撞决策
vehicle safety
information fusion
state feature model
decision-making for collision avoidance
