Real-Time Lane-Vehicle Detection and Tracking System
Huang G(黄冠)1; Wang Xingang1; Wu Wenqi1; Zhou Han2; Wu Yuanyuan2; Huang G(黄冠)
2016-05
会议名称中国控制与决策会议(CCDC)
会议录名称Chinese Control and Decision Conference (CCDC)
会议日期2016-5-28
会议地点中国银川
摘要Leading vehicle localization is the key part of intelligent driving system. This paper presents a novel and effective lane-vehicle detection and tracking system to achieve real-time and robust leading vehicle localization. The system is composed of (i) lane detection and tracking, (ii) sky and road region recognition, (iii) vehicle detection and tracking. First, lane detection and sky and road recognition are performed to reduce the possible region of leading vehicle. Then vehicle detection is applied to get all vehicles in per image. Combined with ROI information, leading vehicle is accurately localized. Finally, vehicle tracking is used to make the whole system more fast and robust. The core part of the whole system is vehicle detection. A novel and effective method based on convolutional neural networks is used to achieve high-quality and real-time vehicle detection. The experimental results validate the effectiveness and robustness of our algorithm. In addition, our system runs at real-time of 10 frames per second.
关键词Lane Detection And Tracking Vehicle Detection Vehicle Tracking Convolutional Neural Networks
收录类别EI
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/11790
专题精密感知与控制研究中心_精密感知与控制
通讯作者Huang G(黄冠)
作者单位1.中国科学院自动化研究所
2.北京信息科技大学
推荐引用方式
GB/T 7714
Huang G,Wang Xingang,Wu Wenqi,et al. Real-Time Lane-Vehicle Detection and Tracking System[C],2016.
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