Title :
Collaborative autonomous navigation in unknown environment
Author :
Cui, Pingyuan ; Cao, Menglong
Author_Institution :
Deep Space Exploration Res. Center, Harbin Inst. of Technol., Harbin
Abstract :
The main problems with autonomous navigation system that uses GPS is the satellite outages and the mapping of the ambience in unknown environment. Techniques was presented to increase position accuracy and navigation robustness in unknown environment by means of collaborative navigation. When vehicle one is navigating, lines of sight to satellites will often be blocked, however, vehicle two at different locations can have different sets of visible satellites and act as virtual satellite. Through collaboration, the satellite information can be shared between vehicles; then, better navigation performance will be achieved. At the same time, vehicle one can map its environment and locate itself accurately even when GPS signal is artificially broken. Simulation results indicate increased accuracy when using the method under investigation. Collaborative autonomous navigation can help several relatively simple vehicles achieve the same performance as expensive and complex platforms.
Keywords :
Global Positioning System; SLAM (robots); mobile robots; GPS; ambience mapping; collaborative autonomous navigation; satellite outages; simultaneous localization and mapping; Collaboration; Global Positioning System; Mobile robots; Remotely operated vehicles; Robot sensing systems; Satellite navigation systems; Simultaneous localization and mapping; Space exploration; Space technology; Space vehicles; Simultaneous localization and mapping (SLAM); autonomous vehicle; correlation; simulation; virtual satellite;
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
DOI :
10.1109/WCICA.2008.4592829