An autonomous robot tracking system through fusing vision with sonar measurements

A robot autonomous tracking system is developed in this paper through integrating vision and distance sensory information. A neural network is utilized to fuse the image processing results and sonar measurements, and select a correct motion command for the follower robot. The network architecture, d...

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Bibliographic Details
Main Authors: Qichang Zheng, Sheng Li, Boyu Hou, Haoxiang Lang, Ying Wang
Format: Conference Proceeding
Language:English
Subjects:
Biological neural networks
mobile robot
Neurons
Robot kinematics
Robot sensing systems
sensor fusion
Tracking
Training
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Summary:A robot autonomous tracking system is developed in this paper through integrating vision and distance sensory information. A neural network is utilized to fuse the image processing results and sonar measurements, and select a correct motion command for the follower robot. The network architecture, data pre-processing, sample design and training results are presented. The simulation and experimental results validate the proposed leader-follower robot formation control strategy.
ISSN:2161-4407
DOI:10.1109/IJCNN.2016.7727847