主办:陕西省汽车工程学会
ISSN 1671-7988  CN 61-1394/TH
创刊:1976年

Automobile Applied Technology ›› 2021, Vol. 46 ›› Issue (16): 33-36.DOI: 10.16638/j.cnki.1671-7988.2021.016.011

• Intelligent Connected Vehicle • Previous Articles     Next Articles

Research on Intelligent Vehicle Ahead Vehicle Recognition Method Based on Single Sensor

ZHANG Shiqiang1 , SU Shibin2 , GUO Xing3 , MA Xiaolong2 , JI Shaobo*1 , CHENG Yong1   

  1. College of Automotive and Transportation Engineering, Liaoning University of Technology
  • Online:2021-08-30 Published:2021-08-30
  • Contact: ZHANG Bosen

基于单传感器的智能车辆前车识别方法研究

张博森   

  1. 辽宁工业大学 汽车与交通工程学院
  • 通讯作者: 张博森
  • 作者简介:张博森,硕士研究生,就读于辽宁工业大学汽车与交通工程学院,研究方向:车辆系统动力学及控制。

Abstract: Effective environment perception is an important embodiment of intelligent vehicle. The leading vehicle identification of intelligent vehicle based on vision sensor and radar sensor is one of the important development directions of intelligent vehicle. At present, some achievements have been made in related fields, but there is still room for improvement in detection accuracy and detection rate. In this paper, we outline the development process of the leading vehicle recognition algorithm based on the above two kinds of sensors and the existing leading vehicle recognition methods of domestic and foreign researchers, compare and analyze the relevant target detection methods, point out the shortcoming of vehicle recognition algorithm based on single sensor, and put forward a kind of reasonable improvement measure.

Key words: Intelligent vehicles; Forward vehicle identification; Camera; Radar sensor

摘要: 有效环境感知是车辆实现智能化的重要体现,基于视觉传感器和雷达传感器的智能车辆前车识别是智能车 辆的重要发展方向之一。目前相关领域已经取得了一定的成绩,但检测精度和检测速率仍然有较大的提升空间。文章概述了基于上述两类传感器的前车识别算法的发展过程以及现有的国内外科研工作者的前车识别方法,并对相关的目标检测方法进行了对比分析,指出了基于单一传感器车辆识别算法存在的不足,并提出一种合理的改进措施。

关键词: 的目标检测方法进行了对比分析,指出了基于单一传感器车辆识别算法存在的不足,并提出一种合理的改进措施。