A Rear-lamp Recognition System Based on D-S Evidence Theory

摘要：

　　In this paper,a recognition system of headlamp language based on D-S evidence theory is proposed.For each recognition,the features of the pictures captured by multiple cameras are extracted and brought into the trained BPA by using the features of HSV color space,which is transformed into the probability of different decision support.Finally,D-S evidence theory is used to calculate the final fusion results.Experiments show that the algorithm effectively improves the recognition accuracy,and can work normally even if a single sensor fails as well as the recognition rate is improved.In addition,the algorithm is simple in calculation and meets the requirement of high real-time performance for unmanned vehicle system.

关键词： Language recognition calculation sensor

作者: Yuze Wang Jindong Zhang Jiale Qiao Sai Gao Chenhui Yu

作者单位: Jilin University,Changchun 130012,China

会议类型: 国际会议

会议名称: 2019 2nd International Conference on Mechanical Engineering, Industrial Materials and Industrial Electronics (MEIMIE 2019)2019年第二届机械工程、工业材料和工业电子国际会议(Meimie 2019)

会议地点: 大连

会议语种:英文

页码: 81-85

在线出版日期: 2019-03-29（万方平台首次上网日期，不代表论文的发表时间）