VIRTUAL AGENT TRAJECTORY PREDICTION AND TRAFFIC MODELING FOR MACHINE SIMULATION SYSTEMS AND APPLICATIONS

    公开(公告)号:US20240092390A1

    公开(公告)日:2024-03-21

    申请号:US17949991

    申请日:2022-09-21

    Abstract: In various examples, systems and methods are presented for model-based trajectory simulation of agents in a simulated environment. Traffic simulators mimic reality so that autonomous or semi-autonomous vehicle design teams can validate driving models in environments that have diversity and complexity. In some embodiments, for a model-controlled agent of a simulation environment, a plurality of navigation probability distributions are generated, each of the plurality of navigation probability distributions defining a candidate trajectory for the agent to follow. A trajectory is selected for the agent based at least on at least one of the plurality of navigation probability distributions, and the agent is moved within the simulation environment based at least on the selected trajectory. In some embodiments, a search algorithm may be applied across multiple time-steps of a simulation, for example, to identify the occurrence of collision-free sequences of navigation probability distributions.

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