Simultaneous Cooperative Exploration and Networking Based on Voronoi Diagrams
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Abstract
We develop a strategy that enables multiple intelligent vehicles to cooperatively
explore complex territories. Every vehicle deploys communication devices and expands an information network while constructing a topological map based on Voronoi diagrams. As the
information network weaved by each vehicle grows, intersections eventually happen so that
the topological maps are shared. This allows for distributed vehicles to share information with
other vehicles that have also deployed communication devices. Our exploration algorithms are
provably complete under mild technical assumptions. A performance analysis of the algorithms
shows that in a bounded workspace, the time spent to complete the exploration decreases as
the number of vehicles increases. We further provide an analytical formula for this relationship.
Time efficiency of the algorithms is demonstrated in MATLAB simulation.
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2009
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Proceedings