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基于双层隐式马尔科夫模型的驾驶意图辨识
引用本文:宗长富,王畅,何磊,郑宏宇,张泽星. 基于双层隐式马尔科夫模型的驾驶意图辨识[J]. 汽车工程, 2011, 33(8)
作者姓名:宗长富  王畅  何磊  郑宏宇  张泽星
作者单位:吉林大学,汽车仿真与控制国家重点实验室,长春130022
基金项目:国家自然科学基金项目(50775096)资助
摘    要:构建了一种双层隐式马尔科夫模型结构,用于实时辨识驾驶员复合工况下的驾驶意图,并在驾驶模拟器上对坡道起步、紧急避障和弯道制动等复合工况进行了验证。结果表明,该模型可准确、高效地辨识各个单一和复合工况下的驾驶意图,为线控汽车的集成控制奠定基础,提高线控汽车的安全性和减轻驾驶员负担。

关 键 词:线控汽车  驾驶员意图辨识  双层隐式马尔科夫模型  复合工况  

Driving Intention Recognition Based on Double-layer HMM
Zong Changfu,Wang Chang,He Lei,Zheng Hongyu,Zhang Zexing. Driving Intention Recognition Based on Double-layer HMM[J]. Automotive Engineering, 2011, 33(8)
Authors:Zong Changfu  Wang Chang  He Lei  Zheng Hongyu  Zhang Zexing
Affiliation:Zong Changfu,Wang Chang,He Lei,Zheng Hongyu & Zhang Zexing Jilin University,State Key Laboratory of Automotive Simulation and Control,Changchun 130022
Abstract:A structure for double-layer hidden Markov model(HMM) is constructed to realtimely recognize the driving intention of driver in combined working conditions with its effects verified by driving simulator in combined working conditions of uphill starting,emergency obstacle avoidance and cornering braking etc.The results show that the model can accurately and efficiently identify the driving intention of driver in all single and combined working conditions.This lays the foundations of integrated control for X-...
Keywords:X-by-wire vehicle  driving intention recognition  double-layer HMM  combined working conditions  
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