JOINT CONDITIONAL RANDOM FIELD FILTER FOR MULTI-OBJECT TRACKING

Joint Conditional Random Field Filter for Multi-Object Tracking

Object tracking can improve the performance of mobile robot especially in populated dynamic environments.A novel joint conditional random field Filter (JCRFF) based on conditional random field with hierarchical structure is proposed for multi-object tracking by abstracting the data associations between objects and measurements to be a sequence of l

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Complete Coverage Path Planning of an Unmanned Surface Vehicle Based on a Complete Coverage Neural Network Algorithm

In practical applications, an unmanned surface vehicle (USV) walking Stick generally employs a task of complete coverage path planning for exploration in a target area of interest.The biological inspired neural network (BINN) algorithm has been extensively employed in path planning of mobile robots, recently.In this paper, a complete coverage neura

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