@inproceedings{eddb8aa08d754aafa00bb62e88533601,
title = "A novel driving pattern recognition and status monitoring system",
abstract = "This paper describes a novel driving pattern recognition and status monitoring system based on the orientation information. Two fixed cameras are used to capture the driver's image and the front-road image. The driver's sight line and the driving lane path are found from these 2 captured images and are mapped into a global coordinate. Two correlation coefficients among the driver's sight line, the driving lane path and the car heading direction are calculated in the global coordinate to monitor the driving status such as a safe driving status, a risky driving status and a dangerous driving status. The correlation coefficients between the lane path and car heading direction in a fixed period are analyzed and recognized as one of 4 driving patterns by HMM. Four driving patterns including the driving in a straight lane, the driving in a curve lane, the driving of changing lanes, and the driving of making a turn are able to be recognized so far.",
keywords = "Ada-boosted, Driving event, Driving safety monitoring, HMM, Intelligent transport, Shape-context",
author = "Lee, {Jiann Der} and Li, {Jiann Der} and Liu, {Li Chang} and Chen, {Chi Ming}",
year = "2006",
doi = "10.1007/11949534_50",
language = "英语",
isbn = "354068297X",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "504--512",
booktitle = "Advances in Image and Video Technology - First Pacific Rim Symposium, PSIVT 2006, Proceedings",
address = "德国",
note = "1st Pacific Rim Symposium on Image and Video Technology, PSIVT 2006 ; Conference date: 10-12-2006 Through 13-12-2006",
}