SYSTEM AND METHOD FOR PROVIDING LONG TERM AND KEY INTENTIONS FOR TRAJECTORY PREDICTION

    公开(公告)号:US20220306160A1

    公开(公告)日:2022-09-29

    申请号:US17352540

    申请日:2021-06-21

    Abstract: A system and method for providing long term and key intentions for trajectory prediction that include receiving image data and LiDAR data associated with RGB images and LiDAR point clouds that are associated with a surrounding environment of an ego agent and processing a long term and key intentions for trajectory prediction dataset (LOKI dataset) that is utilized to complete joint trajectory and intention prediction for heterogeneous traffic agents. The system and method also include encoding a past observation history of each of the heterogeneous traffic agents and sampling a respective goal. The system and method further include decoding and predicting future trajectories associated with each of the heterogeneous traffic agents based on data included within the LOKI dataset, the encoded past observation history, and the respective goal.

    SYSTEM AND METHOD FOR FUTURE FORECASTING USING ACTION PRIORS

    公开(公告)号:US20230081247A1

    公开(公告)日:2023-03-16

    申请号:US17988361

    申请日:2022-11-16

    Abstract: A system and method for future forecasting using action priors that include receiving image data associated with a surrounding environment of an ego vehicle and dynamic data associated with dynamic operation of the ego vehicle. The system and method also include analyzing the image data to classify dynamic objects as agents and to detect and annotate actions that are completed by the agents that are located within the surrounding environment of the ego vehicle and analyzing the dynamic data to process an ego motion history that is associated with the ego vehicle that includes vehicle dynamic parameters during a predetermined period of time. The system and method further include predicting future trajectories of the agents located within the surrounding environment of the ego vehicle and a future ego motion of the ego vehicle within the surrounding environment of the ego vehicle based on the annotated actions.

    SYSTEM AND METHOD FOR COMPLETING JOINT RISK LOCALIZATION AND REASONING IN DRIVING SCENARIOS

    公开(公告)号:US20220371622A1

    公开(公告)日:2022-11-24

    申请号:US17388256

    申请日:2021-07-29

    Inventor: Srikanth MALLA

    Abstract: A system and method for completing joint risk localization and reasoning in driving scenarios that include receiving a plurality of images associated with a driving scene of an ego agent. The system and method also include inputting image data associated with the plurality of images to an encoder and inputting concatenated features to a decoder that identifies at least one of: an important traffic agent and an important traffic infrastructure that is located within the driving scene of the ego agent. The system and method further include controlling at least one system of the ego agent to provide a response to account for the at least one of: the important traffic agent and the important traffic infrastructure that is located within the driving scene of the ego agent.

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