检测车辆座舱中的座椅占用的计算机实现方法、系统和介质

By identifying the features of vehicle cabin seats and using machine learning models to detect seat occupancy, this technology solves the problems of high computational consumption and unreliability in existing technologies, and achieves high-precision seat occupancy detection.

CN116958940BActive Publication Date: 2026-07-17APTIV TECHNOLOGIES AG
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
APTIV TECHNOLOGIES AG
Filing Date
2023-02-13
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing technologies using imaging devices to detect vehicle cabin seat occupancy consume significant computing power and are unreliable.

Method used

The system captures images of the vehicle cabin using an imaging device, identifies seat-related features, uses a processing device to determine the seat area, and identifies seat occupancy status using a machine learning model. It is applicable to different vehicle cabins.

Benefits of technology

It achieves high-precision seat occupancy detection in different vehicle cabins, reducing computational resource consumption.

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Abstract

本申请涉及检测车辆座舱中的座椅占用的计算机实现方法、系统和介质。该方法包括：借助于成像装置拍摄车辆座舱的图像；借助于处理装置识别在所拍摄的图像中与座椅相关联的一组特征；借助于处理装置基于该组特征确定与所识别出的座椅相关联的区域，其中，该区域被配置成覆盖该座椅的至少一部分；以及通过处理从对应区域获得的信息来确定该座椅的座椅占用状态。
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Citation Information

Patent Citations

  • Methods and systems for detecting whether a seat belt is used in a vehicle

    CN113147664A

  • Seated state detection device

    US20190325603A1