Development of steering behavior recognition method by using sensing data of drive recorder

This paper proposes the steering behavior, e.g. lane keeping, lane changing, recognition method by using sensing data of drive recorder. To reduce traffic accidents, it is necessary to improve not only active safety technology, but also the driver awareness about driving safety. One of the methods to increase the driver awareness is to inform the degree of safety of driving behavior. To realize the system, it is necessary to develop the driving behavior recognition algorithm by sensing data of drive recorder. Therefore, this study focuses on lane change recognition method and develops the algorithm by sequential labeling method based on boosting framework; Boosted Conditional Random Fields. To develop the algorithm, four features are focused here to train the model: those are, velocity, steering wheel angle, moving variance and moving standard deviation. Finally, the recognition results are shown, and the best features in machine learning process for recognition algorithm are examined.