随着汽车行业的快速发展,驾驶安全已成为公众关注的焦点。据交通安全部门统计,低能见度环境下的交通事故率明显高于正常天气条件。传统的驾驶辅助系统依赖于可见光摄像头,但在雾天、夜间等低能见度环境下,往往难以准确识别道路障碍物,增加了交通事故的风险。为了解决这一问题,我们开发了一款基于STM32MP157F-DK2的红外热成像智能车载驾驶辅助系统,通过在该主控平台上部署Linux操作系统,结合可见光摄像头和红外热成像模块,并采用图像处理算法和嵌入式人工智能技术,实现在低能见度环境下对障碍物、人员、车辆的智 能识别和碰撞预警,从而提高驾驶安全性。该系统能够有效解决低能见度环境下的驾驶安全问题,减少因视线不良导致的交通事故,提升夜间或恶劣天气条件下的驾驶体验,同时为智能驾驶辅助系统的发展带来了新的机…
☆22Oct 19, 2024Updated last year
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