The present teaching relates to method, system, medium, and implementation of lane planning in an autonomous vehicle. Sensor data are received that capture ground images of a road the autonomous vehicle is on. Based on the sensor data, a current lane of the road that autonomous vehicle is currently occupying is detected. Lane control for the autonomous vehicle is planned based on the detected current lane and self-aware capability parameters in accordance with a driving lane control model. The self-aware capability parameters are used to predict operational capability of the autonomous vehicle with respect to a current location of the autonomous vehicle. The driving lane control model is generated based on recorded human driving data to achieve human-like lane control behavior in different scenarios.
METHOD AND SYSTEM FOR HUMAN-LIKE DRIVING LANE PLANNING IN AUTONOMOUS DRIVING VEHICLES
VERFAHREN UND SYSTEM ZUR MENSCHENÄHNLICHEN FAHRSPURPLANUNG IN AUTONOM FAHRENDEN FAHRZEUGEN
PROCÉDÉ ET SYSTÈME DE PLANIFICATION DE VOIE DE CIRCULATION DE TYPE HUMAIN DANS DES VÉHICULES À CONDUITE AUTONOME
2021-07-28
Patent
Elektronische Ressource
Englisch
IPC: | G01C Messen von Entfernungen, Höhen, Neigungen oder Richtungen , MEASURING DISTANCES, LEVELS OR BEARINGS / B60W CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION , Gemeinsame Steuerung oder Regelung von Fahrzeug-Unteraggregaten verschiedenen Typs oder verschiedener Funktion |
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