Machine Vision AGV Indoor Navigation Method Based on Ground Feature Block Matching

doi:10.3969/j.issn.1006-2475.2016.10.010

Abstract

Abstract:

A machine vision technology is used to detect the ground feature, based on block matching algorithm for AGV navigation. First, the overlap of each two frame images is

identified. Second, the overlap of two images of different frames is found by using feature block matching algorithm. Last, through calculating the overlap image in the previous

frame offset, the distance of the car moving is calculated. So far, the calculation of the cars track is completed. Experiment results show that prototype system of this

method reached the anticipated result under different conditions of ground, and the method is proved to be effective.

Key words: AGV (Automated Guided Vehicle), machine vision, image processing, block matching, indoor navigation

CLC Number:

TP391

WANG Fan1, XING Yanwen2. Machine Vision AGV Indoor Navigation Method Based on Ground Feature Block Matching[J]. Computer and Modernization, 2016, 0(10): 44-48.

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Machine Vision AGV Indoor Navigation Method Based on Ground Feature Block Matching

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