YOLO-Based Binocular Ranging Method: Towards Depth Perception and Object Localization

With the rapid development of computer vision and deep learning, binocular ranging technology has become an important means to achieve depth perception and object localization. In this paper, we propose a binocular ranging method based on YOLO (You Only Look Once), which achieves accurate 3D object ranging and localization by combining depth estimation and target detection. We adopt YOLOv5 as the basic target detection framework and make a series of improvements and optimizations based on it. Experimental results show that our method achieves good ranging and localization performance on binocular image datasets with high accuracy and real-time performance.