A Priority Data Association Policy for Multitarget Tracking on Intelligent Vehicle Risk Assessment

作者: Dequan Zeng , Lu Xiong , Zhuoping Yu , Qiping Chen , Zhiqiang Fu

DOI: 10.3390/RS12193255

关键词:

摘要:

参考文章(30)
M. Partovibakhsh, Guangjun Liu, Online estimation of model parameters and state-of-charge of Lithium-Ion battery using Unscented Kalman Filter advances in computing and communications. pp. 3962- 3967 ,(2012) , 10.1109/ACC.2012.6315272
Z. Ding, L. Hong, Bias phenomenon and compensation for PDA/JPDA algorithms Mathematical and Computer Modelling. ,vol. 27, pp. 1- 16 ,(1998) , 10.1016/S0895-7177(98)00070-3
Moon-Sik Lee, Yong-Hoon Kim, Automotive radar tracking of multi-target for vehicle CW/CA systems Mechatronics. ,vol. 14, pp. 143- 151 ,(2004) , 10.1016/S0957-4158(02)00097-1
Benoit Fortin, Regis Lherbier, Jean-Charles Noyer, A Model-Based Joint Detection and Tracking Approach for Multi-Vehicle Tracking With Lidar Sensor IEEE Transactions on Intelligent Transportation Systems. ,vol. 16, pp. 1883- 1895 ,(2015) , 10.1109/TITS.2015.2391131
Henk AP Blom, Edwin A Bloem, Probabilistic data association avoiding track coalescence IEEE Transactions on Automatic Control. ,vol. 45, pp. 247- 259 ,(2000) , 10.1109/9.839947
Shriram Santhanagopalan, Ralph E. White, State of charge estimation using an unscented filter for high power lithium ion cells International Journal of Energy Research. ,vol. 34, pp. 152- 163 ,(2010) , 10.1002/ER.1655
Stéphanie Lefèvre, Dizan Vasquez, Christian Laugier, A survey on motion prediction and risk assessment for intelligent vehicles ROBOMECH Journal. ,vol. 1, pp. 1- 14 ,(2014) , 10.1186/S40648-014-0001-Z
N. Kaempchen, K. Weiss, M. Schaefer, K.C.J. Dietmayer, IMM object tracking for high dynamic driving maneuvers ieee intelligent vehicles symposium. pp. 825- 830 ,(2004) , 10.1109/IVS.2004.1336491
H. Leung, Zhijian Hu, M. Blanchette, Evaluation of multiple radar target trackers in stressful environments IEEE Transactions on Aerospace and Electronic Systems. ,vol. 35, pp. 663- 674 ,(1999) , 10.1109/7.766946