Title :
Collaborative pseudolites autonomous navigation for multi-vehicle
Author :
Cao Menglong ; Zuo Xiaolei
Author_Institution :
Inst. of Autonomous Navig. & Intell. Control, Qingdao Univ. of Sci. & Technol., Qingdao, China
Abstract :
The main problem with autonomous navigation system that uses GPS is the satellite outages and the mapping of the ambiance in unknown environment. Techniques will be 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; terrain mapping; vehicles; GPS; autonomous navigation system; collaborative autonomous navigation; collaborative navigation; collaborative pseudolites autonomous navigation; multivehicle; navigation robustness; satellite information; satellite outages; unknown environment ambiance mapping; virtual satellite; Collaboration; Global Positioning System; Satellites; Simultaneous localization and mapping; Vehicles; Autonomous Vehicle; Simultaneous Localization and Mapping (SLAM); Virtual Satellite;
Conference_Titel :
Control Conference (CCC), 2011 30th Chinese
Conference_Location :
Yantai
Print_ISBN :
978-1-4577-0677-6
Electronic_ISBN :
1934-1768