Paper Info
Title
Application of a probabilistic market-based approach in UAV sensor & perception management
Abstract
The integration of unmanned airborne sensor platforms into distributed sensor networks is considered beneficial in terms of extending the surveillance area and enhancing multi-perspective sensor data fusion. In this context, exploiting the respective platform capabilities, but hiding the complex airborne system internals e.g. platform guidance and sensor control is one of the challenges. We propose a task based deployment of such UAVs (Unmanned Aerial Vehicles) combined with an onboard Sensor- and Perception Management System (SPMS) capable of coping with dynamic environments and resource limitation. Herein environmental dependencies and sensor constraints are modeled with expert knowledge using Bayesian networks and evaluated within a market based coordination approach during flight.
Year
Venue
Keywords
2013
Information Fusion
autonomous aerial vehicles,belief networks,probability,sensor placement,wireless sensor networks,Bayesian networks,SPMS,UAV sensor,complex airborne system,distributed sensor networks,environmental dependency,expert knowledge,market based coordination approach,multiperspective sensor data fusion,onboard sensor-and perception management system,platform guidance,probabilistic market-based approach,sensor constraints,sensor control,surveillance area,task based deployment,unmanned aerial vehicles,unmanned airborne sensor platforms,Bayesian Environmental Dependencies Modeling,Bayesian Network,Market-Based Coordination,Resource Allocation,Sensor Network,Sensor-Perception Management,Task Based Guidance,UAV Deployment
Field
DocType
ISBN
Key distribution in wireless sensor networks,Computer vision,Software deployment,Computer science,Visual sensor network,Sensor fusion,Bayesian network,Artificial intelligence,Mobile wireless sensor network,Probabilistic logic,Wireless sensor network
Conference
978-605-86311-1-3
Citations 
PageRank 
References 
1
0.37
12
Authors
2
Name
Order
Citations
PageRank
Martin Russ181.60
Peter Stütz2123.41