In one embodiment, a driving scenario is identified for a next movement for an autonomous vehicle, where the driving scenario is represented by a set of one or more predetermined parameters. A first next movement is calculated for the autonomous vehicle using a physical model corresponding to the driving scenario. A sideslip predictive model is applied to the set of predetermined parameters to predict a sideslip of the autonomous vehicle under the driving scenario. A second next movement of the autonomous vehicle is determined based on the first next movement and the predicted sideslip of the autonomous vehicle. The predicted sideslip is utilized to modify the first next movement to compensate the sideslip. Planning and control data is generated for the second next movement and the autonomous vehicle is controlled and driven based on the planning and control data.
A PHYSICAL MODEL AND MACHINE LEARNING COMBINED METHOD TO SIMULATE AUTONOMOUS VEHICLE MOVEMENT
VERFAHREN ZUR KOMBINATION EINES PHYSIKALISCHEN MODELLS MIT MASCHINENLERNEN ZUR SIMULATION EINER AUTONOMEN FAHRZEUGBEWEGUNG
MODÈLE PHYSIQUE ET PROCÉDÉ COMBINÉ D'APPRENTISSAGE AUTOMATIQUE POUR SIMULER LE MOUVEMENT D'UN VÉHICULE AUTONOME
2019-11-20
Patent
Electronic Resource
English
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS / 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 / G05D SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES , Systeme zum Steuern oder Regeln nichtelektrischer veränderlicher Größen |
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