Autonomous multi-target tracking technology of unmanned surface vessel based on navigation radar image Online publication date: Mon, 14-Oct-2019
by Jia Wei Xia; De Chao Zhou; Xu Fang Zhu
International Journal of Information and Communication Technology (IJICT), Vol. 15, No. 3, 2019
Abstract: There are three prominent problems in traditional multi-target tracking technologies of unmanned surface vessel: repeated observations and observation omission due to instable reference system of vessel, the lack of data concerning radar observation point features and low utilisation of it, and intermittent loss of radar image sequence signals due to environment interference. In order to solve the above problems, a radar image stitching algorithm based on interpolation, an improved target multi-feature extraction algorithm and a multi-target track management model based on multi-feature matching are introduced based on the architecture for multi-target tracking system of unmanned surface vessel to improve the timeliness and accuracy of target tracking. The feasibility of this technology has been tested through a field experiments on lake. The result reveal that the proposed method can provide better multiple targets tracking ability with lower predicted error than traditional target tracking methods.
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