ROBUST INTERSECTION RIGHT-OF-WAY DETECTION USING ADDITIONAL FRAMES OF REFERENCE

    公开(公告)号:US20240371178A1

    公开(公告)日:2024-11-07

    申请号:US18311612

    申请日:2023-05-03

    Abstract: Embodiments include systems and methods for determining states of traffic lights and managing behavior of an automated vehicle approaching an intersection. An autonomy system applies an object recognition engine trained to recognize a traffic light, and identify and confirm the state of the traffic light. A first neural network trained for object detection recognizes a traffic light and defines a bounding box around the recognized traffic light. A second neural network receives the region of the image bounded by the box as constituting the traffic light and “reads” the light. The automated vehicle uses other information, such as states of pedestrian traffic lights, detection of objects in and near the intersection, and glare on one or more cameras, to supplement its determination of the right of way through the intersection. The autonomy system generates a driving instruction based on the traffic light combined.

    PAIRED-CAMERA ROAD SURFACE LEAK DETECTION
    3.
    发明公开

    公开(公告)号:US20240331396A1

    公开(公告)日:2024-10-03

    申请号:US18192481

    申请日:2023-03-29

    Inventor: John HUTCHINSON

    CPC classification number: G06V20/56 G06V10/751

    Abstract: Embodiments described herein systems and methods for detecting fluid leaks for an automated vehicle using image data. The automated vehicle includes a camera at or near the front of the chassis and a camera at or near the rear of the chassis. Each camera captures images of a road surface beneath vehicle as the vehicle passes a road surface. The cameras store images of the road surface into a log with timestamp or location stamp, by mapping the image to a location in the world. An algorithm de-warps the images to correct for lensing. Using the locations data, computer vision, and/or object recognition, a processor extracts features, overlays the images, and compares the features to identify differences between the images indicating dripping fluid. Multi-image comparisons avoid false positives. The processor may recognize that image features indicate fluid leaks based on characteristics of spots (e.g., color, location, size) or other features.

    WHOLE VEHICLE FAULT DETECTION USING CENTRALLY LOCATED GAS ANALYSIS

    公开(公告)号:US20240280445A1

    公开(公告)日:2024-08-22

    申请号:US18193939

    申请日:2023-03-31

    Inventor: John HUTCHINSON

    CPC classification number: G01N1/24 G01N33/0006 G07C5/0808

    Abstract: Embodiments described herein include a system of fluid-delivery hardware, including tubes, valves, and pumps that deliver samples of fluid gathered from various exposed locations of a vehicle to commonly located gas analysis sensors. A durable sensor housing contains the gas sensors and is situated in a confined location of the vehicle, which is environmentally isolated and physically partitioned from the sample locations exposed to potentially deleterious environments. For a given sample location, a tube and valves gather and channel fluid samples from the sample location towards the sensor housing at the confined location. A pump forces air outwards to purge debris in the tube or tube inlet, and draws air inward through the tube towards the sensor housing for delivery to the sensors.

    SYSTEMS AND METHODS FOR SENSOR CALIBRATION AT AN ENERGY SUPPLY STATION

    公开(公告)号:US20250018983A1

    公开(公告)日:2025-01-16

    申请号:US18221836

    申请日:2023-07-13

    Abstract: An autonomous vehicle can include a perception sensor and one or more processors. The processors can be configured to automatically control the autonomous vehicle to an energy supply station to resupply the autonomous vehicle; detect an arrival of the autonomous vehicle at the energy supply station; detect a calibration target; collect data from the perception sensor corresponding with the calibration target; and calibrate the perception sensor based on the collected data.

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