吉林大学学报(工学版) ›› 2016, Vol. 46 ›› Issue (6): 1836-1844.doi: 10.13229/j.cnki.jdxbgxb201606011
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GUO Ying-shi1, FU Rui1, 2, ZHAO Kai1, MA Yong1, YUAN Wei1
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| [1] 侯海晶. 高速公路驾驶人换道意图识别方法研究[D]. 长春: 吉林大学交通学院, 2013. Hou Hai-jing. Research on lane-changing intention recognition method for freeway driver[D].Changchun: College of Transportation, Jilin University, 2013. [2] 李亚秋,吴超仲,马晓凤,等. 基于EKF学习方法的BP神经网络汽车换道意图识别模型研究[J]. 武汉理工大学学报:交通科学与工程版,2013,37(4):843-847. Li Ya-qiu, Wu Chao-zhong, Ma Xiao-feng, et al. A recognition model for lane change intention based on neural network with EKF algorithm[J]. Journal of Wuhan University of Technology(Transportation Science & Engineering),2013,37(4):843-847. [3] 马勇,石涌泉,付锐,等. 驾驶人分心时长对车道偏离影响的实车试验[J]. 吉林大学学报:工学版,2015,45(4):1095-1101. Ma Yong, Shi Yong-quan, Fu Rui, et al. Impact of driver's distracted driving time on vehicle lane departure[J]. Journal of Jilin University(Engineering and Technology Edition), 2015, 45(4): 1095-1101. [4] Salvucci D D, Liu A. The time course of a lane change: driver control and eye-movement behavior[J]. Transportation Research Part F: Traffic Psychology and Behavior,2002,5(2):123-132. [5] Jang Y M, Mallipeddi R, Lee M. Driver's lane-change intent identification based on pupillary variation[C]∥IEEE International Conference on Consumer Electronics,New York, 2014:197-198. [6] 马勇,付锐. 驾驶人视觉特性与行车安全研究进展[J]. 中国公路学报,2015,28(6):82-94. Ma Yong, Fu Rui. Research and development of drivers visual behavior and driving safety[J]. China Journal of Highway and Transport,2015,28(6):82-94. [7] Liu A, Pentland A. Towards real-time recognition of driver intentions[C]∥IEEE Conference on Intelligent Transportation System, New York,1997:236-241. [8] Tezuka S, Soma H, Tanifuji K. A study of driver behavior inference model at time of lane change using Bayesian networks[C]∥Proceedings of IEEE International Conference on Industrial Technology, New York,2006:2308-2313. [9] Dogan U, Edelbrunner J, Iossifidis I. Autonomous driving: a comparison of machine learning techniques by means of the prediction of lane change behavior[C]∥IEEE International Conference on Robotics and Biomimetics,New York,2011:1837-1843. [10] Doshi A. Learning and inferring human intentions: exploration of attention and interactivity[D]. San Diego: University of California, 2010. [11] Doshi A, Trivedi M M. On the roles of eye gaze and head dynamics in predicting driver's intent to change lanes[J]. IEEE Transactions on Intelligent Transportation Systems,2009,10(3): 453-462. [12] 彭金栓. 基于视觉特性与车辆相对运动的驾驶人换道意图识别方法[D]. 西安:长安大学汽车学院,2012. Peng Jin-shuan. Driver's lane change intent identification based on visual characteristics and vehicles' relative movements[D]. Xi'an: School of Automobile, Chang'an University, 2012. [13] 袁伟,付锐,郭应时,等. 基于视觉特性的驾驶人换道意图识别[J]. 中国公路学报,2013,26(4):132-138. Yuan Wei, Fu Rui, Guo Ying-shi et al. Driver's lane changing intention identification based on visual characteristics[J]. China Journal of Highway and Transport, 2013,26(4): 132-138. [14] 马勇,付锐,郭应时,等. 基于实车试验的驾驶人换道行为多参数预测[J]. 长安大学学报:自然科学版,2014,34(5):101-108. Ma Yong, Fu Rui, Guo Ying-shi, et al. Multi-parameter prediction of driver's lane change behavior based on real-world driving tests[J]. Journal of Chang'an University (Natural Science Edition), 2014,34(5):101-108. [15] 王玉海,宋健,李兴坤.基于模糊推理的驾驶员意图识别研究[J]. 公路交通科技, 2005, 22(12):113-118. Wang Yu-hai,Song Jian,Li Xing-kun. Study on inference of driver's intentions based on fuzzy reasoning[J]. Journal of Highway and Transportation Research and Development,2005,22(12):113-118. [16] 吴海波. 基于BP神经网络的驾驶人车道变换行为预测[D]. 西安:长安大学汽车学院,2010. Wu Hai-bo. The prediction of driver's lane-changing behavior based on BP neural network[D]. Xi'an: School of Automobile, Chang'an University, 2010. [17] 王畅,付锐,张琼,等. 换道预警系统中参数TTC特性研究[J]. 中国公路学报,2015,28(8):91-100,108. Wang Chang,Fu Rui,Zhang Qiong, et al. Research on parameter TTC characteristics of lane change warning system[J]. China Journal of Highway and Transport,2015,28(8):91-100,108. |
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