COMBINATION OF VISUAL METHODS AND CARTOGRAPHIC DATA FOR IMPROVING LANE-LEVEL NAVIGATION ACCURACY
DOI:
https://doi.org/10.30888/2663-5712.2025-34-01-044Keywords:
lane-level navigation, autonomous vehicles, segmentation, HD-maps, deep learning, sensors, neural networks, optimization, Kalman filter, LiDARAbstract
The object of study is methods for ensuring high-precision lane-level navigation for autonomous vehicles in real road environments. The relevance of the work is due to the fact that at automation levels L4-L5, even an error of tens of centimeters can leadReferences
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