Prediction of the Position of Pedestrian Crossing Road Section Based on Kalman Predictor

摘要：

In order to effectively guarantee the pedestrian safety, coordinate relations between the image pixels and actual position of road is founded based on zebra crossing feature. A method which detects pedestrian and predicts the position of pedestrian in real-time for use is presented based on Kalman predictor. By this method, pedestrian-vehicle collision point can be prejudged and pedestrian information is provided for driver. Finally detecting and predicting method experiments were performed and the method has been proved to be correct.

关键词： Kalman predictor zebra crossing interesting area

作者: MA Guo-sheng YAO Jiao YANG Xiao-guang MA Guo-sheng

作者单位: School of Transportation Engineering Tongji University Shanghai, China Department of Transportation Engineering Harbin Institute of Technology at Weihai Weihai, China

会议类型: 国际会议

会议名称: 2009 International Conference on Measuring Technology and Mechatronics Automation(ICMTMA 2009)(2009年检测技术与机电自动化国际会议)

会议地点: 张家界

会议语种:英文

页码: 541-544

在线出版日期: 2009-04-11（万方平台首次上网日期，不代表论文的发表时间）