报告时间：2019年5月30日上午10:00-12:00
报告地点：太阳城集团校本部民主楼小礼堂
报告题目：Predicting Unintentional Vehicle Lane Departure Using the Support Vector Machine and Neural Network
报告人：IEEE Fellow 应浩教授，美国韦恩州立大学
报告摘要— Advanced driver assistance systems, such as unintentional lane departure warning systems, have recently drawn much attention and efforts. We explored utilizing the nonlinear binary support vector machine (SVM) technique as well as the three-layer neural network with the back-propagation learning scheme to predict unintentional lane departure. We developed a two-stage training scheme to improve SVM’s prediction performance in terms of minimization of the number of false positive prediction errors. Experiment data generated by a Virtual Test Track Experiment (VIRTTEX) simulator, which is a hydraulically powered 6-degrees-of-freedom moving base driving simulator at Ford Motor Company, were used. All the 100+ vehicle variables were sampled at 50 Hz and there were 16 drowsy drivers (about three-hour driving per driver) and six control drivers (approximately 20 minutes driving each). A total of 3,508 unintentional lane departures occurred for the drowsy drivers and 23 for the control drivers. Our study involving these 22 drivers with a total of over 7.5 million prediction decisions demonstrates that: (1) excellent SVM prediction performance, measured by numbers of false positives (i.e., falsely predicted lane departures) and false negatives (i.e., lane departures failed to be predicted), were achieved when the prediction horizon was 0.6 s or less, (2) lateral position and lateral velocity worked the best as SVM input variables among the nine variable sets that we explored, (3) the radial basis function performed the best as the SVM kernel function, and (4) the SVM produced more accurate lane departure prediction than the neural network did.
报告人简介：Dr. Hao Ying (应浩)is a professor atthe Department of Electrical and Computer Engineering, Wayne State University, Detroit, Michigan, USA. He is an IEEE Fellow and has published two fuzzy control books, over 110 journal papers, and more than 160 conference papers. His work has been widely cited (Google Scholar h-index is 47). He is serving as an Associate Editor or a Member of Editorial Board for nine international journals (including theIEEE Transactions on Fuzzy Systemsand theIEEE Transactions on Systems, Man, and Cybernetics: Systems), and has been on the Fuzzy Systems Technical Committee of the IEEE Computational Intelligence Society in the past 11 of 12 years. He served as a member of the Fellow Committee of the IEEE Systems, Man, and Cybernetics Society in 2016 and 2017, as Program Chair for three international conferences, and as a Program/Technical Committee Member for over 100 international conferences.
