Disclosed is a decision-making and planning integrated method for a nonconservative intelligent vehicle in a complex heterogeneous environment, including the following steps: offline establishing and training a social interaction knowledge learning model; obtaining state data of the traffic participants and state data of an intelligent vehicle online in real time, and splicing the state data to obtain an environmental state; using the environmental state as an input to the trained social interaction knowledge learning model to obtain predicted trajectories of all traffic participants including the nonconservative intelligent vehicle; updating the environmental state based on the predicted trajectories; and inputting the updated environmental state to the social interaction knowledge learning model to complete trajectory decision-making and planning for the nonconservative intelligent vehicle by iteration, where a planned trajectory of the nonconservative intelligent vehicle is a splicing result of a first point of a predicted trajectory obtained by each iteration.
Decision-making and planning integrated method for nonconservative intelligent vehicle
2024-10-15
Patent
Electronic Resource
English
IPC: | G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / 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 |
DECISION-MAKING AND PLANNING INTEGRATED METHOD FOR NONCONSERVATIVE INTELLIGENT VEHICLE
European Patent Office | 2024
|INTELLIGENT DRIVING DECISION-MAKING METHOD, DECISION-MAKING APPARATUS AND VEHICLE
European Patent Office | 2024
|Intelligent networked vehicle formation decision-making method
European Patent Office | 2023
|Entropy for Nonconservative Vibrating Systems
AIAA | 2017
|Shell buckling and nonconservative forces
AIAA | 1964
|