基于多种传感器结合的手势控制整车灯光方法

By combining multiple sensors, a high-precision depth image and gesture command database are generated, solving the problem of single sensor interference from ambient light and vibration. This enables high-precision gesture recognition and in-vehicle lighting control, and supports convenient vehicle retrofitting.

CN120792673BActive Publication Date: 2026-07-17NINGBO YIBINELECTRONIC TECH CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
NINGBO YIBINELECTRONIC TECH CO LTD
Filing Date
2025-07-11
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing vehicle intelligent systems rely on a single sensor and are easily affected by ambient light and vehicle vibration, resulting in blurred images and command recognition errors.

Method used

By employing a combination of multiple sensors, including ToF sensors and infrared cameras, high-precision depth images and gesture command databases are generated. Combined with IMU sensor data, gesture recognition and access control are performed, and in-vehicle lighting is controlled in different areas.

Benefits of technology

It achieves high-precision and high-reliability gesture command recognition, reduces the risk of accidental triggering, improves the feasibility and robustness of gesture operation, and supports convenient installation through original vehicle wiring modification.

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Abstract

本发明涉及一种基于多种传感器结合的手势控制整车灯光方法,包括处理单元以及设置在车体上的ToF传感器以及红外摄像头以及IMU传感器,第一ToF传感器、第二ToF传感器、后ToF传感器,通过多个ToF传感器进行手势位置确认生成高精度深度图像,高精度深度图像识别关键点位,根据关键点位捕捉手势空间位置以及运动速度;采用红外摄像头捕捉手势样式图样,第一ToF传感器以及第二ToF传感器以及后ToF传感器将车体内空间分为至少两个识别区域,采用多组ToF传感器结合红外摄像头以及IMU传感器获得高精度高可靠性的手势命令识别,极大地优化了手势识别的精准特性,确保了手势操作的可行性。联动车辆状态,对车内识别区域进行划分,有效降低手势命令误触发风险。
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