引用本文:廖传锦, 黄席樾, 柴毅.基于多传感器信息融合的目标跟踪与防撞决策[J].控制理论与应用,2005,22(1):127~133.[点击复制]
LIAO Chuan-jin, HUANG Xi-yue, CHAI Yi.Target tracking and decision-making for collision avoidance based on multisensor fusion[J].Control Theory and Technology,2005,22(1):127~133.[点击复制]
基于多传感器信息融合的目标跟踪与防撞决策
Target tracking and decision-making for collision avoidance based on multisensor fusion
摘要点击 2399  全文点击 1733  投稿时间：2003-05-13  修订日期：2003-11-12
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DOI编号  
  2005,22(1):127-133
中文关键词  汽车防撞  信息融合  目标跟踪
英文关键词  vehicle collision avoidance  information fusion  target tracking
基金项目  国家自然科学基金资助项目(69674012).
作者单位
廖传锦, 黄席樾, 柴毅 重庆大学 自动化学院导航制导实验室,重庆 400044 
中文摘要
      为了实现汽车主动安全系统中的目标跟踪与防撞,提出了混合式汽车防撞系统信息融合结构模型,采用分级信息融合实现目标跟踪,推导出了基于跟踪残留误差和预测残留误差共同校正的融合算法,并给出了算法的实现结构.在此基础之上,利用模糊积分方法融合多种相关信息,确定了汽车应采用的安全运行模式,实现了主动安全防撞决策.大量实验表明,该算法具有很好的稳定性和准确率.
英文摘要
      To realize target tracking and collision avoidance in the system of vehicle active safety, a hybrid information fusion structure model of vehicle collision avoidance system(CAS) is presented to implement the target tracking with the method of hierarchical fusion. A new algorithm for multisensor fusion based on residual track error and predicted residual error is proposed and the realization architecture for the new algorithm is also presented.Then,an information fusion method based on fuzzy integral is presented to make a decision for traveling model.The experiments show that the new algorithm is stable and exact.