scholarly journals 3D localization, mapping and path planning for search and rescue operations

Author(s):  
R. Dube ◽  
A. Gawel ◽  
C. Cadena ◽  
R. Siegwart ◽  
L. Freda ◽  
...  
2021 ◽  
Vol 241 ◽  
pp. 110098
Author(s):  
Bo Ai ◽  
Maoxin Jia ◽  
Hanwen Xu ◽  
Jiangling Xu ◽  
Zhen Wen ◽  
...  

2012 ◽  
Vol 241-244 ◽  
pp. 1682-1687 ◽  
Author(s):  
Tao Pang ◽  
Xiao Gang Ruan ◽  
Er Shen Wang ◽  
Rui Yuan Fan

For the path planning problem of search and rescue robot in unknown environment, a bionic learning algorithm was proposed. The GSOM (Growing Self-organizing Map) algorithm was used to build the environment cognitive map. The heuristic search A* algorithm was used to find the global optimal path from initial state to target state. When the local environment was changed, reinforcement learning algorithm based on sensor information was used to guide the search and rescue robot behavior of local path planning. Simulation results show the method effectiveness.


2020 ◽  
Vol 44 (7) ◽  
pp. 1183-1198
Author(s):  
Samira Hayat ◽  
Evşen Yanmaz ◽  
Christian Bettstetter ◽  
Timothy X. Brown

2016 ◽  
pp. 937-942
Author(s):  
J Zhang ◽  
A Teixeira ◽  
C Soares ◽  
X Yan

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