Predicting Lane Position for Roadway Departure Prevention
Conference Paper, Proceedings of IEEE Intelligent Vehicles Symposium (IV '98), pp. 245 - 251, October, 1998
Abstract
In this paper, we describe a preliminary analysis of driver data collected during a recently completed small scale data collection effort. We will demonstrate that a popular method for computing Time To Lane Crossing (TLC) does not always accurately predict the driver's actual TLC. We will then use a memory based learning approach to show why this is. Finally, we will present results in predicting the driver's future lane position using the new memory based approach.
BibTeX
@conference{Batavia-1998-14762,author = {Parag Batavia and Dean Pomerleau and Chuck Thorpe},
title = {Predicting Lane Position for Roadway Departure Prevention},
booktitle = {Proceedings of IEEE Intelligent Vehicles Symposium (IV '98)},
year = {1998},
month = {October},
pages = {245 - 251},
publisher = {IEEE},
keywords = {lane tracking, human factors},
}
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