@inproceedings{79fd955eb3814549b645ec834bee84b8,
title = "On addressing driving inattentiveness: Robust rear light status classification using Hierarchical Matching Pursuit",
abstract = "Automatically recognizing rear light signals of front vehicles can significantly improve driving safety by automatic alarm and taking actions proactively to prevent collisions and accidents. Much previous research only focuses on the detection of brake signals at night. In this paper, we propose a novel and robust framework to detect rear lights of vehicles and estimate their signal states at daytime. Comparing with existing state-of-the-art works, our experimental results show the high detection rate and robustness of our system in complicated light conditions.",
author = "Zhiyong Cui and Yang, \{Shao Wen\} and Chenqi Wang and Tsai, \{Hsin Mu\}",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014 ; Conference date: 08-10-2014 Through 11-10-2014",
year = "2014",
month = nov,
day = "14",
doi = "10.1109/ITSC.2014.6958037",
language = "英语",
series = "2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2243--2244",
booktitle = "2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014",
address = "美国",
}