Infrared and Visible Light Fusion for Object Detection with Low-light Enhancement

In low-light environments, conventional object detection methods often suffer from poor performance and low accuracy. To address these challenges, this paper proposes a novel object detection method that combines low-light enhancement with visible-infrared fusion. By innovatively integrating infrared spectrum images into the object detection process and incorporating a dedicated low-light enhancement module, our approach significantly improves the detection capabilities of traditional methods. We conducted extensive qualitative and quantitative experiments to validate the effectiveness of the proposed method. The results demonstrate that our approach not only enhances detection accuracy but also reliably identifies objects in challenging low-light conditions, thus providing a robust solution for applications requiring high precision in adverse lighting environments.