SYSTEM AND METHOD FOR VEHICLE OCCLUSION DETECTION

    公开(公告)号:US20230406297A1

    公开(公告)日:2023-12-21

    申请号:US18241576

    申请日:2023-09-01

    申请人: TuSimple, Inc.

    摘要: A system and method for vehicle occlusion detection is disclosed. A particular embodiment includes: receiving training image data from a training image data collection system; obtaining ground truth data corresponding to the training image data; performing a training phase to train a plurality of classifiers, a first classifier being trained for processing static images of the training image data, a second classifier being trained for processing image sequences of the training image data; receiving image data from an image data collection system associated with an autonomous vehicle; and performing an operational phase including performing feature extraction on the image data, determining a presence of an extracted feature instance in multiple image frames of the image data by tracing the extracted feature instance back to a previous plurality of N frames relative to a current frame, applying the first trained classifier to the extracted feature instance if the extracted feature instance cannot be determined to be present in multiple image frames of the image data, and applying the second trained classifier to the extracted feature instance if the extracted feature instance can be determined to be present in multiple image frames of the image data.

    METHOD AND SYSTEM FOR AREA MANAGEMENT IN SMART CITY BASED ON INTERNET OF THINGS

    公开(公告)号:US20230394611A1

    公开(公告)日:2023-12-07

    申请号:US18448147

    申请日:2023-08-10

    摘要: The present disclosure provides a method and a system for area management in a smart city based on an Internet of Things. The method includes obtaining environmental monitoring data in a target area through a sensor network platform, the environmental monitoring data including at least one of air quality data, weather data, and satellite image data, predicting an air pollution situation in the target area through a regional prediction model based on the environmental monitoring data, the regional prediction model being a machine learning model, and sending prompt information, which is determined based on the air pollution situation in the target area, to a user platform through a service platform, wherein the target area is a hexagonal area; and the regional prediction model includes seven regional models and an air quality determination model; wherein a prediction mode of the regional prediction model is an iterative prediction.

    METHOD FOR OPERATING A VEHICLE INTERIOR MONITORING SYSTEM, CONTROL DEVICE, VEHICLE INTERIOR MONITORING SYSTEM AND VEHICLE

    公开(公告)号:US20230388626A1

    公开(公告)日:2023-11-30

    申请号:US18323167

    申请日:2023-05-24

    申请人: CARIAD SE

    发明人: Octavian Tirla

    摘要: The disclosure relates to a method for operating a vehicle interior monitoring system including at least one camera unit. A control device sets an adjustable camera parameter of the camera unit by a camera-specific control command in the camera unit and receives and evaluates at least one image recorded by the camera unit, and a result of the evaluation is output as a camera-specific result datum. The control device generates a general control command that sets the adjustable camera parameter of the camera unit, the general control command is converted based on a camera configuration of the camera unit saved in the control device into the camera-specific control command, the camera-specific result datum is converted based on the camera configuration of the camera unit saved in the control device into a general result datum, and the general result datum of the camera unit is provided to a data fusion device.