Vehicle object detection and improvement methods in specific scenarios

Abstract

This paper mainly studies the current mainstream vehicle object detection methods and improvement methods in specific scenarios. The research provides ideas and methods for further enhancing the accuracy and stability of vehicle object detection, which is beneficial in reducing missed and incorrect detections. This can improve the accuracy of target detection in urban areas, construction sites, and other scenarios, thereby ensuring safety. The purpose of this research is to improve vehicle object detection methods and identify directions for enhancement. In this essay, the main way of research is that reading a lot of papers and contrasting the advantage and disadvantage among them. The main finding of this paper is that in different application scenarios, the directions for improvement vary, and the improved algorithms cannot simultaneously accommodate both accuracy and robustness, and the improved methods cannot be widely used. Based on this information, pointing out the future development direction and clear problems.