ARTIFICIAL INTELLIGENCE ENABLED VEHICLE OPERATING SYSTEM

    公开(公告)号:US20250094854A1

    公开(公告)日:2025-03-20

    申请号:US18005904

    申请日:2022-11-28

    Abstract: A vehicle operating system (VOS) in an autonomous driving vehicle (ADV) can communicate with a cloud platform to automatically train AI models. The VOS collects real-time data from the ADV, and generates inference data based on the real-time data using a teacher edge model of an AI model and generates second inference data based on the real-time data using a student edge model of the AI model. The VOS then obtains one or more differences between the first inference data and the second inference data, and retrains the student edge model of the AI model based on the one or more differences. Both real-time data and the retrained student edge model are uploaded to a cloud platform for use in upgrading the student edge model and the teacher edge model on the cloud platform. The upgraded teacher edge model and the student edge model can be redeployed over-the-air (OTA) through a software define process. The above process of training AI models can be repeated in a closed-loop automatically without user intervention.

    On-board tuning of image signal processor for cameras of autonomous vehicles

    公开(公告)号:US12244935B2

    公开(公告)日:2025-03-04

    申请号:US17991004

    申请日:2022-11-21

    Abstract: In one embodiment, a system configures an image signal processor (ISP) of an autonomous driving vehicle (ADV) with a first set of ISP configuration parameters, where the ISP is used to process raw image data of an image sensor of the ADV based on the first set of ISP configuration parameters. The system determines whether one or more criteria is satisfied, where the one or more criteria corresponds to an expected change in a characteristic of ambient light being perceived by the image sensor of the ADV. In response to determining that the one or more criteria is satisfied, the system configures the ISP of the ADV with a second set of ISP configuration parameters, where the ISP is used to apply an image processing algorithm to raw image data based on the second set of ISP configuration parameters to generate an image.

    Brake pad wear detection and warning for autonomous driving vehicles

    公开(公告)号:US12209628B2

    公开(公告)日:2025-01-28

    申请号:US18147567

    申请日:2022-12-28

    Abstract: Sound signals are received by a plurality of microphones disposed on a top of an ADV. An analysis of the sound signals is performed based on a spectrum and a vibration intensity of the sound signals. A wheel which the sound signals come from and a thickness of a brake pad of the wheel is determine based on the analysis of the sound signals. A brake pad wear degree of the brake pad and how long the ADV can run with the brake pad within a safety range is determined. A warning message indicating warning information based on the brake pad wear degree is transmitted.

    SYSTEMS AND METHODS FOR MONITORING AND CONTROLLING A VEHICLE WITH REDUNDANT BRAKING SYSTEMS

    公开(公告)号:US20250018912A1

    公开(公告)日:2025-01-16

    申请号:US18349912

    申请日:2023-07-10

    Abstract: Embodiments herein comprise monitoring factors related to braking of an autonomous vehicle. In response to determining, based upon data from one or more sensors, whether a failure state from a set of one or more failure states has occurred, a failure log is updated to record the occurrence of the detected failure state. In one or more embodiments, the failure states have associated severity levels, and the updated log and associated severities are used to determine a braking safety or failure metric for the vehicle. In one or more embodiments, if the vehicle has a metric corresponding to a rule that correlates the braking safety metric value to a set of one or more actions, the corresponding action(s) may then be implemented. For example, if the braking safety metric has a value corresponding to a rule that indicates the vehicle is unsafe, the vehicle is parked.

    VIDEO CAMERA CALIBRATION REFINEMENT FOR AUTONOMOUS DRIVING VEHICLES

    公开(公告)号:US20240221218A1

    公开(公告)日:2024-07-04

    申请号:US18147267

    申请日:2022-12-28

    Inventor: Yun Ji Zhenwei Yu

    Abstract: In one embodiment, a system captures a first frame and a second frame for an environment of an autonomous driving vehicle (ADV) from at least a first and a second cameras mounted on the ADV. The system determines at least two points in the first frame having corresponding points in the second frame. The system determines distance and angle measurement information from the first camera to the at least two points and from the second camera to the corresponding points. The system determines actual positioning angles of the first and second cameras with respect to an orientation of the ADV based on the distance and angle measurement information and pixel information in the first and second frames. The actual positioning angles are used to compensate misalignments in positioning angles for the first and second cameras.

    MULTI-LEVEL OPTIMIZATION FRAMEWORK FOR BEHAVIOR PREDICTION IN AUTONOMOUS DRIVING

    公开(公告)号:US20240208533A1

    公开(公告)日:2024-06-27

    申请号:US18145344

    申请日:2022-12-22

    Inventor: Yu Cao Ang Li

    Abstract: A system generates a first variant of a first machine learning (ML) model, the first variant associated with an initial hyperparameter value. The system determines a prediction metric for the first variant of the first ML model, the prediction metric indicating an accuracy of the behavior prediction. The system generates an estimated simulation metric for the first variant of the first ML model by applying a second ML model to the prediction metric. The system identifies a first hyperparameter associated with a second variant of the first ML model, the second variant of the first ML model having a corresponding prediction metric and a corresponding estimated simulation metric that meet a first predetermined criteria, the second variant of the first ML model is used by an autonomous driving vehicle (ADV) for behavior prediction.

    FAILSAFE BRAKING SYSTEMS WITH INDEPENDENT BRAKING ACTUATIONS FOR AUTONOMOUS OR ASSISTED DRIVING VEHICLES

    公开(公告)号:US20240166182A1

    公开(公告)日:2024-05-23

    申请号:US18056606

    申请日:2022-11-17

    CPC classification number: B60T8/885 B60T13/662 B60T2270/413

    Abstract: This disclosure provides systems and methods for providing a failsafe braking system to independently backup various braking controls, such as longitudinal control, stability control, and standstill control. For example, in addition to providing the longitudinal control, the stability control, and the standstill control in a primary braking system (PBS), a secondary braking system (SBS) may independently intervene a malfunctioning braking procedure (e.g., any one of the longitudinal control, the stability control, and the standstill control) of the PBS. The PBS malfunctions may be caused by power failure, actuation failure (e.g., failure of electric motor or otherwise loss of actuation pressure), or control failure (e.g., electronic control unit (ECU) or control circuitry failure). Thus, the SBS uses an independent set of power supply, actuation devices (e.g., motors, pumps, and/or valves), and provides a redundant control circuitry to back up the control circuitry of the PBS.

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