Distributed Information Fusion Structure Based on Data Fusion Tree

2011 ◽  
Vol 225-226 ◽  
pp. 488-491
Author(s):  
Ying Hua Xue ◽  
Jing Li

A distributed information fusion structure based on data fusion tree is built to realize precise localization and efficient navigation for the mobile robot. The multi-class, multi-level information from robot and environment is fused using different algorithms in different levels, and make the robot have a deeper understanding to the whole environment. Experiments demonstrate that the new model proposed in the paper can improve the positioning precision of robot greatly, and the search efficiency and success rate are also better than traditional mode.

2018 ◽  
Vol 26 (6) ◽  
pp. 1551-1560
Author(s):  
徐 斌 XU Bin ◽  
温广瑞 WEN Guang-rui ◽  
苏 宇 SU Yu ◽  
张志芬 ZHANG Zhi-fen ◽  
陈 峰 CHEN Feng ◽  
...  

2020 ◽  
Vol 63 ◽  
pp. 248-255 ◽  
Author(s):  
Joel Weijia Lai ◽  
Jie Chang ◽  
L. K. Ang ◽  
Kang Hao Cheong

2015 ◽  
Vol 42 (7) ◽  
pp. 3813-3831 ◽  
Author(s):  
Farzad Aminravan ◽  
Rehan Sadiq ◽  
Mina Hoorfar ◽  
Manuel J. Rodriguez ◽  
Homayoun Najjaran

2020 ◽  
Author(s):  
Feng Zhao ◽  
Jiahui Zhang ◽  
Zhiyuan Chen ◽  
Xiaofeng Zhang ◽  
Qingsong Xie

2020 ◽  
Vol 58 ◽  
pp. 24-39 ◽  
Author(s):  
Monika Simjanoska ◽  
Stefan Kochev ◽  
Jovan Tanevski ◽  
Ana Madevska Bogdanova ◽  
Gregor Papa ◽  
...  

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