A real-time map merging strategy for robust collaborative reconstruction of unknown environments

2020 ◽  
Vol 145 ◽  
pp. 113109 ◽  
Author(s):  
Carlos Alberto Velásquez Hernández ◽  
Flavio Augusto Prieto Ortiz
2013 ◽  
Vol 26 (2) ◽  
pp. 166-170
Author(s):  
Yang Li ◽  
Xiaodong Zhang ◽  
Yuanlv Bao
Keyword(s):  

2012 ◽  
Vol 8 (10) ◽  
pp. 567959 ◽  
Author(s):  
Mingzhong Yan ◽  
Daqi Zhu ◽  
Simon X. Yang

A real-time map-building system is proposed for an autonomous underwater vehicle (AUV) to build a map of an unknown underwater environment. The system, using the AUV's onboard sensor information, includes a neurodynamics model proposed for complete coverage path planning and an evidence theoretic method proposed for map building. The complete coverage of the environment guarantees that the AUV can acquire adequate environment information. The evidence theory is used to handle the noise and uncertainty of the sensor data. The AUV dynamically plans its path with obstacle avoidance through the landscape of neural activity. Concurrently, real-time sensor data are “fused” into a two-dimensional (2D) occupancy grid map of the environment using evidence inference rule based on the Dempster-Shafer theory. Simulation results show a good quality of map-building capabilities and path-planning behaviors of the AUV.


2017 ◽  
Vol 20 (2) ◽  
pp. 1123-1134 ◽  
Author(s):  
Hongyu Wang ◽  
Jin Li ◽  
Zhenshan Hou ◽  
Ruochen Fang ◽  
Wenbo Mei ◽  
...  

2006 ◽  
pp. 493-507 ◽  
Author(s):  
Lars Harrie ◽  
Hanna Stigmar ◽  
Tommi Koivula ◽  
Lassi Lehto
Keyword(s):  

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