Driving intention recognition and behaviour prediction based on a double-layer hidden Markov model

Lei He1, Changfu Zong1, Chang Wang1
1State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun, China

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Tài liệu tham khảo

Beyon, J.Y., 2000. LabVIEW: Programming, Data Acquisition and Analysis (1st Ed.). Prentice Hall PTR, Upper Saddle River, New Jersey, USA.

Cappé, O., Moulines, E., Rydén, T., 2005. Inference in Hidden Markov Models. Springer, USA.

Chen, S.G., Ji, S.Y., Liu, W.S., Song, Z.Y., Pang, L.J., 2009. Recursive implementation of Gaussian pulse shaping based on wavelet analysis. Acta Phys. Sin., 58(5):3041–3046 (in Chinese).

Ge, M.L., 2006. Study on the Automatic Control of Hill-Start Assist System for AMT System. MS Thesis, Jilin University, Changchun, China (in Chinese).

Guo, K.H., Guan, H., Zong, C.F., 1999. Development and Applications of JUT-ADSL Driving Simulator. Proc. IEEE Int. Vehicle Electronics Conf., p.1–5. [doi:10.1109/ IVEC.1999.830603]

Kishimoto, Y., Oguri, K., 2008. A Modeling Method for Predicting Driving Behavior Concerning with Driver’s Past Movements. Proc. IEEE Int. Conf. on Vehicular Electronics and Safety, p.132–136. [doi:10.1109/ICVES.2008.4640888]

Kuge, N., Yamamura, T., Shimoyama, O., 2000. A Driver Behavior Recognition Method Based on a Driver Model Framework. SAE Paper, Detroit, USA, No. 2000-01-0349.

Meng, X.N., Lee, K.K., Xu, Y.S., 2006. Human Driving Behavior Recognition Based on Hidden Markov Models. Proc. IEEE Int. Conf. on Robotics and Biomimetics, p.274–279. [doi:10.1109/ROBIO.2006.340166]

Oliver, N., Garg, A., Horvitz, E., 2004. Representations for learning and inferring office activity from multiple sensory channels. Comput. Vis. Image Understand., 96(2): 163–180. [doi:10.1016/j.cviu.2004.02.004]

Pentland, A., Liu, A., 1999. Modeling and prediction of human behavior. Neur. Comput., 11(1):229–242. [doi:10.1162/089976699300016890]

Rabiner, L.R., 1989. A tutorial on hidden Markov models and selected applications in speech recognition. Proc. IEEE, 77(2):257–286. [doi:10.1109/5.18626]

Raksincharoensak, P., Mizushima, T., Nagai, M., 2008. Direct yaw moment control system based on driver behavior recognition. Veh. Syst. Dyn., 46(sup1):911–921. [doi:10.1080/00423110802037156]

Takano, W., Matsushita, A., Iwao, K., Nakamura, Y., 2008. Recognition of Human Driving Behaviors Based on Stochastic Symbolization of Time Series Signal. IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, p.167–172. [doi:10.1109/IROS.2008.4650671]

Wang, W.Z., 2000. t test—the superlative test to discard abnormal values with σ unknown. J. Sichuan Univ. Sci. Technol., 19(3):84–86 (in Chinese).

Xi, Z., Levinson, D., 2006. Modeling intersection driving behaviors: a hidden Markov model approach (I). J. Transp. Res. Board, p.16–23.