@inproceedings{8cb009a9e7a54f1785038b8cafcc3807,
title = "Pose estimation for vehicles based on binocular stereo vision in urban traffic",
abstract = "Extensive research has been carried out in the field of driver assistance systems in order to increase road safety and comfort. We propose a pose estimation algorithm based on binocular stereo vision for calculating the pose of on-road vehicles and providing reference for the decision of driving assistant system, which is useful for behavior prediction for vehicles and collision avoidance. Our algorithm is divided into three major stages. In the first part, the vehicle is detected and roughly located on the disparity map. In the second part, feature points on the vehicle are extracted by means of license plate detection algorithm. Finally, pose information including distance, direction and its variation is estimated. Experimental results prove the feasibility of the algorithm in complex traffic scenarios.",
keywords = "Behavior prediction, Binocular stereo vision, Pose estimation",
author = "Pengyu Liu and Fei Wang and Yicong He and Hang Dong and Haiwei Yang and Yang Yang",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; 11th International Conference on Intelligent Computing, ICIC 2015 ; Conference date: 20-08-2015 Through 23-08-2015",
year = "2015",
doi = "10.1007/978-3-319-22180-9\_44",
language = "英语",
isbn = "9783319221793",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "454--465",
editor = "Vitoantonio Bevilacqua and De-Shuang Huang and Prashan Premaratne",
booktitle = "Intelligent Computing Theories and Methodologies - 11th International Conference, ICIC 2015, Proceedings",
}