SYSTEM AND METHOD TO TRAIN AND SELECT A BEST SOLUTION IN A DYNAMICAL SYSTEM

    公开(公告)号:US20200310420A1

    公开(公告)日:2020-10-01

    申请号:US16365434

    申请日:2019-03-26

    Abstract: An autonomous vehicle, system and method for operating the autonomous vehicle. The system includes a plurality of solution modules, a state module, a hypothesis resolver and a navigation module. The plurality of solution modules each provide a solution for a future state of an agent. The state module that provides an environmental state. The hypothesis resolver receives the environmental state and the plurality of solutions, selects a solution from the plurality of solutions based on the environmental state and determines a reward for the solution, the reward indicating a confidence level of the solution for the environmental state. The navigation module navigates the autonomous vehicle based on the selected solution.

    METHODS FOR COGNITIVE SITUATION AWARENESS USING AN ATTENTION-BASED EVENT STRUCTURE

    公开(公告)号:US20220219685A1

    公开(公告)日:2022-07-14

    申请号:US17147782

    申请日:2021-01-13

    Abstract: A method of using perception-inspired event generation for situation awareness for a vehicle, including receiving perception input data from a sensor of the vehicle and processing the perception input data to classify and generate parameters related to an external entity in a vicinity of the vehicle. The method includes generating a hierarchical event structure that classifies and prioritizes the perception input data by classifying the external entity into an attention zone and prioritizing the external entity within the attention zone according to a risk level value for the external entity. A higher risk level value indicates a higher priority within the attention zone. The method further includes developing a behavior plan for the vehicle based on the hierarchical event structure.

    NAVIGATION TRAJECTORY USING REINFORCEMENT LEARNING FOR AN EGO VEHICLE IN A NAVIGATION NETWORK

    公开(公告)号:US20220144309A1

    公开(公告)日:2022-05-12

    申请号:US17094255

    申请日:2020-11-10

    Abstract: An ego vehicle includes decider modules and a grader module coupled to a resolver module. The decider modules generate trajectory decisions at a current time, generate a current two-dimensional slice of a flat space around the ego vehicle, generate future two-dimensional slices of the flat space by projecting the current two-dimensional slice of the flat space forward in time, and generate a three-dimensional state space by stacking the current two-dimensional slice and the future two-dimensional slices. The grader module generates rewards for the trajectory decisions based on a recent behavior of an ego vehicle. The resolver module selects a final trajectory decision for the ego vehicle from the trajectory decisions based on the three-dimensional state space and the rewards. The current two-dimensional slice includes a current ego vehicle location and current neighboring vehicle locations. The future two-dimensional slices include future ego vehicle locations and future neighboring vehicle locations.

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