A new type of distributed wireless network which combines a laser range finder with binocular vision sensors is developed to improve the accuracy of measurement along the direction of optical axis. By obtaining the coordinate of the target by the binocular vision sensor, the laser range finder which is installed at a two-axes rotary table is able to measure the distance between the target and the turntable of the current position. Then, an adaptive weighted fusion algorithm of multi-sensor information fusion is proposed to improve the utilization efficiency of the multi-sensor information and to make the results more accurate. Finally, the parameters of the system are calibrated through the simulations and the experiments show that the system is feasible and effective.

Adaptive weighted fusion, Distributed wireless network, Noncontact positioning measuring
Peer-to-Peer Networking and Applications
Department of Systems and Computer Engineering

Shen, H. (Haikuo), Zhang, K. (Kaihua), & Nejati, A. (Afsoon). (2017). A noncontact positioning measuring system based on distributed wireless networks. Peer-to-Peer Networking and Applications, 10(3), 823–832. doi:10.1007/s12083-016-0525-5