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…
☆21Oct 19, 2024Updated last year
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