TY - GEN
T1 - Collaborative autonomous navigation in unknown environment
AU - Cui, Pingyuan
AU - Cao, Menglong
PY - 2008
Y1 - 2008
N2 - The main problems with autonomous navigation system that uses GPS is the satellite outages and the mapping of the ambience 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.
AB - The main problems with autonomous navigation system that uses GPS is the satellite outages and the mapping of the ambience 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.
KW - Autonomous vehicle
KW - Correlation
KW - Simulation
KW - Simultaneous localization and mapping (SLAM)
KW - Virtual satellite
UR - http://www.scopus.com/inward/record.url?scp=52149113720&partnerID=8YFLogxK
U2 - 10.1109/WCICA.2008.4592829
DO - 10.1109/WCICA.2008.4592829
M3 - Conference contribution
AN - SCOPUS:52149113720
SN - 9781424421145
T3 - Proceedings of the World Congress on Intelligent Control and Automation (WCICA)
SP - 5872
EP - 5877
BT - Proceedings of the 7th World Congress on Intelligent Control and Automation, WCICA'08
T2 - 7th World Congress on Intelligent Control and Automation, WCICA'08
Y2 - 25 June 2008 through 27 June 2008
ER -