Object Detection in Autonomous Driving: Advances in Computer Vision Techniques

Abstract

With the rapid development of autonomous driving technology, target detection, as the core link of its environmental perception, has become a research hotspot in the field of computer vision This article systematically reviews the application status, key challenges, and future trends of computer vision-based object detection technology in autonomous driving. This article provides a comprehensive review of computer vision-based object detection technology in autonomous driving scenarios. It discusses the importance of object detection in autonomous driving, analyzes key challenges such as adapting to complex environments and balancing real-time performance with accuracy, and summarizes current solutions like context learning and algorithm optimization. The paper also highlights future trends, including the development of lightweight deep learning models and the application of computer vision in special environments such as urban logistics and mining areas.