A system and method for estimating road conditions ahead of a vehicle, including: a LIDAR sensor operable for generating a LIDAR point cloud (16); a processor executing a road condition estimation algorithm stored in a memory, the road condition estimation algorithm performing the steps including: detecting a ground plane or drivable surface in the LIDAR point cloud; superimposing an MxN matrix on at least a portion of the LIDAR point cloud; for each patch of the LIDAR point cloud defined by the MxN matrix, statistically evaluating a relative position, a feature elevation, and a scaled reflectance index; and, from the statistically evaluated relative position, feature elevation, and scaled reflectance index, determining a slipperiness probability for each patch of the LIDAR point cloud; and a vehicle control system operable for, based on the determined slipperiness probability for each patch of the LIDAR point cloud, affecting an operation of the vehicle.
VEHICLE SYSTEMS AND METHODS UTILIZING LIDAR DATA FOR ROAD CONDITION ESTIMATION
FAHRZEUGSYSTEME UND -VERFAHREN MIT VERWENDUNG VON LIDAR-DATEN ZUR STRASSENZUSTANDSSCHÄTZUNG
SYSTÈMES DE VÉHICULE ET PROCÉDÉS UTILISANT DES DONNÉES LIDAR POUR L'ESTIMATION DE L'ÉTAT DES ROUTES
2024-06-05
Patent
Elektronische Ressource
Englisch
VEHICLE SYSTEMS AND METHODS UTILIZING LIDAR DATA FOR ROAD CONDITION ESTIMATION
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