The invention discloses a motor car automatic light control system based on computer vision assistance, and relates to the technical field of motor car automatic light control, and the system comprises a severe weather identification module, a light dynamic adjustment module and an intelligent control and feedback module. By arranging the multi-position high-definition camera outside the bullet train and applying a severe weather feature extraction algorithm, precise recognition of severe weather such as rainstorm, violent snow and dense fog is achieved, the problem that the severe weather recognition capacity of an existing system is limited is solved, and by means of a self-adaptive light regulation and control algorithm and a differential adjustment strategy for different types of lamplight, the recognition accuracy of the bullet train is improved. Light parameters are dynamically adjusted according to severe weather and ambient light intensity, contrast is enhanced, color temperature is adjusted, a comfortable light environment is created, visual experience of passengers is improved, sight of a driver is prevented from being interfered, information such as weather and running speed and geographic position of the bullet train is fused through an environment information fusion module, comprehensive and reasonable light adjustment is achieved, and the service life of the bullet train is prolonged. And the intelligent operation requirement of the bullet train is met.
本发明公开了一种基于计算机视觉辅助的动车自动控光系统,涉及动车自动控光技术领域,该系统包括:恶劣天气识别模块、光线动态调整模块以及智能控制与反馈模块。本发明通过在动车外部设置多位置高清摄像头,运用恶劣天气特征提取算法,实现对暴雨、暴雪、浓雾等恶劣天气的精准识别,解决现有系统恶劣天气识别能力有限的问题,借助自适应光线调控算法和针对不同类型灯光的差异化调整策略,根据恶劣天气和环境光强度动态调整光线参数,增强对比度、调节色温,营造舒适光线环境,提升乘客视觉体验,避免驾驶员视线受干扰,通过环境信息融合模块,将天气与动车运行速度、地理位置等信息融合,实现全面合理的光线调整,满足动车智能化运营需求。
Bullet train automatic light control system based on computer vision assistance
一种基于计算机视觉辅助的动车自动控光系统
2025-03-18
Patent
Electronic Resource
Chinese
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