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A Fast Fusion Algorithm for Target Identification and Localization
Received date: 2011-07-29
Online published: 2025-05-29
To solve the problem of slow response and low hitting probability caused by current vehicular fire control system can not achieve automatic target type identification and accurate target location, a fast fusion algorithm for target identification and location based on target identification of image information was proposed. The algorithm uses image collecting devices of the fire control system to realize the real-time monitor of the targets ahead. It also uses integration of partial relation, template matching and parallax ranging to identify the type of target and measure the distance. The algorithm provides a very effective technique to improve the automation and intelligence level of the vehicular fire control system. The operation period of algorithm is less than 50ms with the identification accuracy rate more than 98% and the ranging tolerance less than one meter on the condition that the range of visibility is within 2000 meters.
Key words: partial relation; parallax ranging; template matching; algorithm fusion
SHI Zhanguo , ZHANG Xiao , WU Di , WANG Shengyong , ZHU Lei , ZHANG Xiubin . A Fast Fusion Algorithm for Target Identification and Localization[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2012 , 32(3) : 201 -204 . DOI: 10.15892/j.cnki.djzdxb.2012.03.009
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