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A Study On Lane-Change Recognition Using Support Vector Machine, Weiping Deng
A Study On Lane-Change Recognition Using Support Vector Machine, Weiping Deng
USF Tampa Graduate Theses and Dissertations
This research focuses primary on recognition of lane-change behaviors using support vector machines (SVMs). Previous research and statistical results show that the vast majority of motor vehicle accidents are caused by driver behavior and errors. Therefore, the interpretation and evaluation of driver behavior is important for road safety analysis and improvement. The main limit to understanding driver behavior is the data availability. In particular, a full-scale lane-change data set is difficult to collect in a real traffic environment because of the safety and cost issues. Considering the data demands of the recognition model development and the obstacles of field data …