Research on model of on-road vehicle ahead based on vision sensor

CHEN Yong; CHEN Yao

doi:10.13873/J.1000-9787(2014)09-0042-03

Chinese

您当前的位置：

首页 >

文章列表页 >

Research on model of on-road vehicle ahead based on vision sensor

更新时间：2025-09-11

- Research on model of on-road vehicle ahead based on vision sensor
- Vol. 33, Issue 9, Pages: 42-44+51(2014)
- 作者机构：
  
  1. 西北工业大学软件与微电子学院
  2. 北京工业大学计算机学院
- 作者简介：
- 基金信息：
- DOI：10.13873/J.1000-9787(2014)09-0042-03
  CLC： TP391.41
- Published：2014
- 稿件说明：
移动端阅览
[1]陈勇,陈瑶.基于视觉传感器的道路前方车辆模型研究[J].传感器与微系统,2014,33(09):42-44+51.

CHEN Yong, CHEN Yao. Research on model of on-road vehicle ahead based on vision sensor[J]. 2014, 33(9): 42-44+51.
[1]陈勇,陈瑶.基于视觉传感器的道路前方车辆模型研究[J].传感器与微系统,2014,33(09):42-44+51. DOI： 10.13873/J.1000-9787(2014)09-0042-03.

CHEN Yong, CHEN Yao. Research on model of on-road vehicle ahead based on vision sensor[J]. 2014, 33(9): 42-44+51. DOI： 10.13873/J.1000-9787(2014)09-0042-03.

摘要

车辆几何模型是基于视觉传感器的车辆检测系统的重要部分。为了提高前方车辆检测的鲁棒性

利用车尾轮廓的几何特征构建了世界坐标系的车尾模型

通过坐标系变换给出了视觉传感器坐标系的车尾模型

进而导出图像车尾模型

并给出了车尾模型参数的表达式及其与现实世界中车尾几何参数的对应关系

明确建立了图像中车辆位置和大小的关系。实验表明:将该模型应用于车辆检测可以抑制图像中不符合车辆透视关系的错误识别

能有效提高车辆检测的鲁棒性。

Abstract

Vehicle geometric model is an important component of on-road vehicle detection system based on vision sensor. In order to improve robustness of on-road vehicle detection

the vehicle rear model in the world coordinate system is built using contour geometric feature of vehicle rear ahead; by coordinates transform

vehicle rear model in vision sensor coordinate system is built. And then the vehicle rear model in image is derived

where its parameter expressions and the correspondence relations between the model parameters in image and the rear geometric parameters of the vehicle ahead in the real world are given. This vehicle model formulates the relationships between vehicle rear image size and vehicle position in image. Utilizing it in the vehicle detection can suppress that the region no matching the on-road vehicle perspective is misrecognized as vehicle. Experiment shows the vehicle model can effectively improve robustness of vehicle detection.

关键词

Keywords

references

基于多特征融合的车辆检测算法 [J]. 朱勇,付彦君. 传感器与微系统 . 2009(08)

JTG D20-2006. 公路路线设计规范 [S]. 2006

Views

106

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Detection approach of vision based on road vehicle

Welding quality detection of coffee capsule aluminum foil based on machine vision

Urban road vehicle detection method by aerial photography based on improved SSD

Design of object recognition and tracking algorithm and system based on machine vision

Vehicle detection algorithm based on multi-feature fusion

Related Author

MIAO Xiao-dong

LI Shun-ming

SHEN Huan

LIU Jian-ya

AN Mu-jin

DING Jinfeng

XU Xiaozuo

YAN Dongpeng

Related Institution

College of Emergy & Power Engineering,Nanjing University of Aeronautics and Astronautics

Department of Instruments,School of Mechanical Science and Engineering,Huazhong University of Science and Technology

Zhejiang Dahua Technology Co Ltd

Road Network Monitoring and Emergency Response Center of Ministry of Transportation

School of Instrument Science and Engineering, Southeast University

⁰