Research on Extension Recognition Method and Its Application on Obstacles Recognition of Self-driving Car

Hua Huang-wei; Yang Chun-yan

doi:10.3969/j.issn.1007-7162.2016.04.001

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Research on Extension Recognition Method and Its Application on Obstacles Recognition of Self-driving Car

更新时间：2026-05-27

- Research on Extension Recognition Method and Its Application on Obstacles Recognition of Self-driving Car
- Vol. 33, Issue 4, Pages: 1-06(2016)
- 作者机构：
- 作者简介：
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- DOI：10.3969/j.issn.1007-7162.2016.04.001
  CLC：
- Online First：02 August 2016，
  
  Published：2016
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花黄伟, 杨春燕. 可拓识别方法及其在无人车识别障碍物中的应用研究[J]. 广东工业大学学报, 2016, 33(4): 1-06.

Hua Huang-wei, Yang Chun-yan. Research on Extension Recognition Method and Its Application on Obstacles Recognition of Self-driving Car[J]. 2016, 33(4): 1-06.
花黄伟, 杨春燕. 可拓识别方法及其在无人车识别障碍物中的应用研究[J]. 广东工业大学学报, 2016, 33(4): 1-06. DOI： 10.3969/j.issn.1007-7162.2016.04.001.

Hua Huang-wei, Yang Chun-yan. Research on Extension Recognition Method and Its Application on Obstacles Recognition of Self-driving Car[J]. 2016, 33(4): 1-06. DOI： 10.3969/j.issn.1007-7162.2016.04.001.

摘要

智能识别障碍物是无人车的必备技术，目前对该技术的研究已经成为热门的研究方向.本文依据可拓学的基本理论与方法，从解决矛盾问题的角度对可拓识别方法进行了深入研究，给出了定性与定量相结合的可拓识别方法的一般步骤和流程，并将该方法应用于无人车识别障碍物，获得了符合识别要求的策略，证明了其可行性.该方法也为研制可拓识别系统提供了思路，具有广阔的应用前景.

Abstract

Intelligent obstacle recognition is the essential technology of the self-driving car

which has been a popular research so far. Based on the basic theory and method of Extenics

a research is carried out by using the extension recognition method

to solve contradictory problems. The general procedure of extension recognition method is provided

combining qualitative analysis with quantitative calculation. This method is applied on obstacle recognition of the self-driving car and a strategy obtained that conform to the recognition requirements. The case analysis proves the feasibility of this method. In the meantime

this method offers a research idea for the development of extension recognition system and has a broad application prospect.

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Related Institution

School of Electromechanical Engineering, Guangdong University of Technology

Institute of Extenics and Innovation Methods, Guangdong University of Technology

Research Institute of Extenics and Innovation Methods, Guangdong University of Technology

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Institute of Mathematics and Physics, Beijing Union University

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