Earticle

초록

영어

There exists the problem of low accuracy, instability and costly mobile communication positioning in GPS navigation. The vision orientation system as an auxiliary navigation method can realize the function of high precision positioning within a large range. This paper introduces a matching constraint and layer-by-layer search structure which is suitable for GPS vision navigation system, and puts forward a feature aided multi-stage matching algorithm. The algorithm firstly makes the match of the more obvious characteristics points, then the matched points information are used to determine the subsequent points general disparity range through the geometric constraints, thus improving the matching speed and accuracy. Using different types of outdoor natural topographic map matching experiments were conducted. Experimental results show that the multi-stage matching algorithm introduced in this paper is better than the basic area matching algorithm in matching accuracy and speed.

목차

Abstract
 1. Introduction
 2. Matching Constraint
 3. Multi-stage Real-time Matching Algorithm
  3.1 Selection of Feature Points
  3.2. Determination of the Search Scope
  3.3. Determination of Matching Criterion
  3.4. Matching Procedure
 4. Matching Experiment
 5. Conclusion
 References

키워드

저자

• Bo-ping Zhang [ College of Computer and Technology of Xuchang University, Xuchang, 461000, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605