Review of Object Detection Challenges in Autonomous Driving
Shenxuan Cao · Applied and Computational Engineering · 2023
This paper presents a comprehensive review of object detection in autonomous driving applications. The classical object detection network is presented, along with several well-known online resources and benchmark methods. A thorough review of the challenges in object detection for autonomous driving is provided, along with potential solutions to these challenges. By exploring the current state of object detection in autonomous vehicles, this paper aims to contribute to the ongoing efforts to improve the safety and efficiency of autonomous driving technology.