Driver monitoring and response system

    公开(公告)号:US11279279B2

    公开(公告)日:2022-03-22

    申请号:US16472760

    申请日:2017-12-19

    Abstract: An evaluation engine has two or more modules to assist a driver of a vehicle. A driver drowsiness module analyzes monitored features of the driver to recognize two or more levels of drowsiness of the driver of the vehicle. The driver drowsiness module evaluates drowsiness of the driver based on observed body language and facial analysis of the driver. The driver drowsiness module is configured to analyze live multi-modal sensor inputs from sensors against at least one of i) a trained artificial intelligence model and ii) a rules based model while the driver is driving the vehicle to produce an output comprising a driver drowsiness-level estimation. A driver assistance module provides one or more positive assistance mechanisms to the driver to return the driver to be at or above the designated level of drowsiness.

    FINE-LEVEL FACE ALIGNMENT THROUGH ANCHOR AND CONTOUR ESTIMATIONS

    公开(公告)号:US20220301290A1

    公开(公告)日:2022-09-22

    申请号:US17654956

    申请日:2022-03-15

    Abstract: This disclosure describes techniques for improving accuracy of machine learning systems in facial recognition. The techniques include generating, from a training image comprising a plurality of pixels and labeled with a plurality of facial landmarks, one or more facial contour heatmaps, wherein each of the one or more facial contour heatmaps depicts an estimate of a location of one or more facial contours within the training image. Techniques further include training a machine learning model to process the one or more facial contour heatmaps to predict the location of the one or more facial contours within the training image, wherein training the machine learning model comprises applying a loss function to minimize a distance between the predicted location of the one or more facial contours within the training image and corresponding contour data generated from facial landmarks of the plurality of facial landmarks with which the training image is labeled.

    A DRIVER MONITORING AND RESPONSE SYSTEM

    公开(公告)号:US20210129748A1

    公开(公告)日:2021-05-06

    申请号:US16472760

    申请日:2017-12-19

    Abstract: An evaluation engine has two or more modules to assist a driver of a vehicle. A driver drowsiness module analyzes monitored features of the driver to recognize two or more levels of drowsiness of the driver of the vehicle. The driver drowsiness module evaluates drowsiness of the driver based on observed body language and facial analysis of the driver. The driver drowsiness module is configured to analyze live multi-modal sensor inputs from sensors against at least one of i) a trained artificial intelligence model and ii) a rules based model while the driver is driving the vehicle to produce an output comprising a driver drowsiness-level estimation. A driver assistance module provides one or more positive assistance mechanisms to the driver to return the driver to be at or above the designated level of drowsiness.

    Method and system for monitoring driving behaviors

    公开(公告)号:US10769459B2

    公开(公告)日:2020-09-08

    申请号:US15751339

    申请日:2016-08-30

    Abstract: A method and a system are provided for monitoring driving conditions. The method includes receiving video data comprising video frames from one or more sensors where the video frames may represent an interior or exterior of a vehicle, detecting and recognizing one or more features from the video data where each feature is associated with at least one driving condition, extracting the one or more features from the video data, developing intermediate features by associating and aggregating the extracted features among the extracted features, and developing a semantic meaning for the at least one driving condition by utilizing the intermediate features and the extracted one or more features.

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