A device may receive forward facing video data associated with a vehicle, and may process the forward facing video data, with neural network models, to detect lane lines and to determine classifications for the lane lines. The device may utilize the forward facing video data to generate a histogram of horizontal positions of the vehicle, and may fit probability density functions on the histogram to calculate a mean and a standard deviation. The device may utilize the mean and the standard deviation to identify a crossing interval, and may classify the forward facing video data as a lane crossing or a lane change based on the crossing interval. The device may calculate a lane crossing score or may calculate a lane change score. The device may perform actions based on the lane crossing score or the lane change score.
SYSTEMS AND METHODS FOR DETECTING LANE CROSSINGS AND CLASSIFYING LANE CHANGES
2025-04-24
Patent
Electronic Resource
English
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