吉林大学学报(工学版) ›› 2018, Vol. 48 ›› Issue (1): 36-43.doi: 10.13229/j.cnki.jdxbgxb20161220

• Orginal Article • Previous Articles     Next Articles

Identification of vehicle motion intention based on reaction behavior model

SUN Bo-hua, DENG Wei-wen, ZHU Bing, WU Jian, WANG Shan-shan   

  1. State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022,China
  • Received:2016-11-01 Online:2018-02-26 Published:2018-02-26

Abstract: To improve the performance of decision-making planning for intelligent vehicles, a vehicle motion intention identification strategy is proposed based on the reactive behavior. Analysis and classification are performed for reactive vehicle motion intention, and a Reaction Motion Intention Model (RMIM) is built based on Multi-dimension Gaussian Hidden Markov Process (MGHMP). The experimental data of typical cases are obtained from the vehicle motion intention data acquisition system, and RMIM is trained and identified. The key parameters of the model are optimized using orthogonal test method, and typical cases are selected for measurement and analysis. Test results show that the reaction intention of traffic vehicle can be identified effectively using the proposed identification strategy.

Key words: vehicle engineering, vehicle motion intention identification, reaction motion behavior, multi-dimension Gaussian hidden Markov process, orthogonal test

CLC Number: 

  • U461
[1] Brechtel S, Gindele T, Dillmann R.Probabilistic decision making under uncertainty for autonomous driving using continuous pomdps[C]∥The 17th International IEEE Conference on Intelligent Transportation Systems (ITSC), IEEE, 2014: 392-399.
[2] Bai H, Cai S, Ye N, et al.Intention-aware online POMDP planning for autonomous driving in a crowd[C]∥The IEEE International Conference on Robotics and Automation (ICRA), Seattle,Washington, 2015: 454-460.
[3] Cai Shao-jun.Online pomdp planning for vehicle navigation in densely populated area[D]. Guangzhou: South China University of Technology, 2014 .
[4] 吕岸, 胡振程, 陈慧. 基于高斯混合隐马尔科夫的高速公路超车行为辨识与分析[J]. 汽车工程, 2010, 32(7): 630-634.
Lv An, Hu Zhen-cheng, Chen Hui.Recognition and analysis on highway overtaking behavior based on Gaussian mixture-hidden Markov model[J]. Automotive Engineering, 2010, 32(7): 630-634.
[5] 唐先智, 王波, 杨树军, 等. 基于Hilbert-Huang变换的制动意图聚类识别[J]. 汽车工程, 2016, 38(5): 580-586.
Tang Xian-zhi, Wang Bo, Yang Shu-jun, et al.Cluster identification of braking intention based on Hilbert-Huang transform[J]. Automotive Engineering, 2016, 38(5): 580-586.
[6] 王畅. 基于隐形马尔科夫模型的驾驶员意图辨识方法研究[D]. 长春: 吉林大学汽车工程学院, 2011.
Wang Chang.Research on driving intention identification based on hidden Markov model [D]. Changchun: College of Automotive Engineering, Jilin University, 2011.
[7] Urmson C, Anhalt J, Bagnell D, et al.Autonomous driving in urban environments: boss and the urban challenge[J]. Journal of Field Robotics, 2008, 25(8): 425-466.
[8] Rabiner Lawrence R.A tutorial on hidden Markov models and selected applications in speech recognition[J]. Proceeding of the IEEE, 1989, 77(2):257-286.
[9] Reynolds D A, Rose R C.Robust text-independent speaker identification using Gaussian mixture speaker models[J]. IEEE Transaction on Speech and Audio Processing, 1995, 3(1):72-83.
[10] 朱冰, 贾晓峰, 王御, 等. 基于双dSPACE的汽车动力学集成控制快速原型试验[J]. 吉林大学学报:工学版, 2016, 46(1): 8-14.
Zhu Bing, Jia Xiao-feng, Wang Yu, et al.Rapid prototype test for integrated vehicle dynamic control using tow dSPACE simulators[J]. Journal of Jilin University (Engineering and Technology Edition), 2016, 46(1): 8-14.
[11] Baum L E, Petrie T.Statistical inference for probabilistic functions of finite state Markov chains[J]. The Annals of Mathematical Statistics, 1966, 37: 1554-1563.
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