A Multi-Feature Fusion Based Traffic Light Recognition Algorithm for Intelligent Vehicles

摘要：

　　Traffic light recognition is a key technology for intelligent vehicles and Advanced Driver Assistance Systems(ADAS).This paper proposes a multi-feature fusion based real-time traffic light recognition algorithm for intelligent vehicles.In the region of interest determined by the vanishing line,technologies including color segmentation,blob detection,and structural feature extraction are employed individually to obtain a set of candidate locations.A fusion algorithm is developed to integrate these results and compute a score for all these possible locations of traffic lights.The score of each candidate denotes its probability of being a traffic light.The final detection is achieved by fusing its score with temporal and geographic information.Extensive experimental results on a real intelligent vehicle show that the proposed algorithm is effective and efficient.

关键词： Traffic Light intelligent vehicle multiple features geographic information

作者: ZHANG Yue XUE Jianru ZHANG Geng ZHANG Yingwei ZHENG Nanning

作者单位: Institute of Artificial Intelligence and Robotics,Xian Jiaotong University 710049

会议类型: 国际会议

会议名称: The 33th Chinese Control Conference第33届中国控制会议

会议地点: 南京

会议语种:英文

页码: 4924-4929

在线出版日期: 2014-07-28（万方平台首次上网日期，不代表论文的发表时间）