摘要
随着红外技术的发展,红外夜视仪越来越多的被应用在车辆辅助驾驶系统上以提高夜间的行车安全性。本文阐述了车载夜视技术的发展状况,针对红外成像的行人检测算法进行综述,并对其中多尺度红外特征提取和检测方法进行了分析,最后对未来车载平台行人检测技术的发展方向做了简要介绍。
With the development of infrared technology, the infrared camera has become more common in advanced driver assistance systems for improved traffic safety at night. This study presents the improvement of vehicle night vision technology. An overview of pedestrian detection algorithms in infrared images is presented, followed by multiscale feature extraction and detection methods. Some proposals for future research on pedestrian detection in the area are then presented.
作者
石永彪
张湧
SHI Yongbiao;ZHANG Yong(University of Chinese Academy of Sciences, Beijing 100039, China;Key Laboratory of Infrared System Detection and Imaging Technology of Shanghai Institute of Technical Physics, Shanghai 200083, China)
出处
《红外技术》
CSCD
北大核心
2019年第6期504-510,共7页
Infrared Technology
关键词
汽车辅助驾驶
红外夜视技术
行人检测
driver assistance system
infrared night vision
pedestrian detection
