SWARM
Distributed Particle Filtering over Sensor Networks for Autonomous Navigation of UAVs
Gerasimos Rigatos
- Year
- 2010
- Citations
- 6
- Access
- Open access
Abstract
State estimation and control over sensor networks is a problem met in several applications such as surveillance and condition monitoring of large-scale systems, multi-robot systems and cooperating UAVs. In sensor networks the simplest kind of architecture is centralized. Distributed sensors send measurement data to a central processing unit which provides the
Keywords
ScalabilitySensor fusionKalman filterDistributed computingState (computer science)Overhead (engineering)Computer scienceReal-time computingWireless sensor networkFault detection and isolation
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