NAVIGATION SYSTEMS AND METHODS FOR DETERMINING OBJECT DIMENSIONS

    公开(公告)号:US20230175852A1

    公开(公告)日:2023-06-08

    申请号:US17616719

    申请日:2020-12-31

    Abstract: Systems and methods are provided for vehicle navigation. In one implementation, a navigation system for a host vehicle may comprise at least one processor. The processor may be programmed to receive from a camera onboard the host vehicle a plurality of captured images representative of an environment of the host vehicle. The processor may provide each of the plurality of captured images to a target object analysis module including at least one trained model configured to generate an output for each of the plurality of captured image. The processor may receive from the target object analysis module the generated output. The processor may further determine at least one navigational action to be taken by the host vehicle based on the output generated by the target object analysis module. The processor may cause the at least one navigational action to be taken by the host vehicle.

    Fast CNN classification of multi-frame semantic signals

    公开(公告)号:US11200468B2

    公开(公告)日:2021-12-14

    申请号:US16685925

    申请日:2019-11-15

    Abstract: The present subject matter provides various technical solutions to technical problems facing advanced driver assistance systems (ADAS) and autonomous vehicle (AV) systems. In particular, disclosed embodiments provide systems and methods that may use cameras and other sensors to detect objects and events and identify them as predefined signal classifiers, such as detecting and identifying a red stoplight. These signal classifiers are used within ADAS and AV systems to control the vehicle or alert a vehicle operator based on the type of signal. These ADAS and AV systems may provide full vehicle operation without requiring human input. The embodiments disclosed herein provide systems and methods that can be used as part of or in combination with ADAS and AV systems.

    FAST CNN CLASSIFICATION OF MULTI-FRAME SEMANTIC SIGNALS

    公开(公告)号:US20220058453A1

    公开(公告)日:2022-02-24

    申请号:US17519404

    申请日:2021-11-04

    Abstract: The present subject matter provides various technical solutions to technical problems facing advanced driver assistance systems (ADAS) and autonomous vehicle (AV) systems. In particular, disclosed embodiments provide systems and methods that may use cameras and other sensors to detect objects and events and identify them as predefined signal classifiers, such as detecting and identifying a red stoplight. These signal classifiers are used within ADAS and AV systems to control the vehicle or alert a vehicle operator based on the type of signal. These ADAS and AV systems may provide full vehicle operation without requiring human input. The embodiments disclosed herein provide systems and methods that can be used as part of or in combination with ADAS and AV systems.

    FAST CNN CLASSIFICATION OF MULTI-FRAME SEMANTIC SIGNALS

    公开(公告)号:US20200160126A1

    公开(公告)日:2020-05-21

    申请号:US16685925

    申请日:2019-11-15

    Abstract: The present subject matter provides various technical solutions to technical problems facing advanced driver assistance systems (ADAS) and autonomous vehicle (AV) systems. In particular, disclosed embodiments provide systems and methods that may use cameras and other sensors to detect objects and events and identify them as predefined signal classifiers, such as detecting and identifying a red stoplight. These signal classifiers are used within ADAS and AV systems to control the vehicle or alert a vehicle operator based on the type of signal. These ADAS and AV systems may provide full vehicle operation without requiring human input. The embodiments disclosed herein provide systems and methods that can be used as part of or in combination with ADAS and AV systems.

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