Tracking and detection of lane and vehicle integrating lane and vehicle information using PDAF tracking model

Ssu Ying Hung*, Yi Ming Chan, Bin Feng Lin, Li Chen Fu, Pei Yung Hsiao, Shin Shinh Huang

*此作品的通信作者

研究成果: 圖書/報告稿件的類型會議稿件同行評審

5 引文 斯高帕斯(Scopus)

摘要

We propose a robust system for multi-vehicle and multi-lane detection with integrating lane and vehicle information. Most research work only can detect the lanes or vehicles separately. However, the dependency between lane information and vehicle information are able to support each other achieving more reliable results. We use probabilistic data association filter to integrate the information of lane and vehicle. In probabilistic data association filter, cumulate history of target is kept in the data association probability. Target tracking can improve the detection results through region of interests. At the same time, a high-level traffic model combines the lane and vehicle information. The tracking and detection can benefit each other through iterations. Experimental results show that our approach can detect multi-vehicle and multi-lane reliably.

原文英語
主出版物標題2009 12th International IEEE Conference on Intelligent Transportation Systems, ITSC '09
頁面603-608
頁數6
DOIs
出版狀態已出版 - 2009
對外發佈
事件2009 12th International IEEE Conference on Intelligent Transportation Systems, ITSC '09 - St. Louis, MO, 美國
持續時間: 03 10 200907 10 2009

出版系列

名字IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

Conference

Conference2009 12th International IEEE Conference on Intelligent Transportation Systems, ITSC '09
國家/地區美國
城市St. Louis, MO
期間03/10/0907/10/09

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