Distributed Consensus with Visual Perception in Multi-Robot Systems covers a variety of related topics such as:
· distributed consensus algorithms;
· data association and robustness problems;
· convergence speed; and
· cooperative mapping.
The book first puts forward algorithmic solutions to these problems and then supports them with empirical validations working with real images. It provides the reader with a deeper understanding of the problems associated to the perception of the world by a team of cooperating robots with onboard cameras.
Academic researchers and graduate students working with multi-robot systems, or investigating problems of distributed control or computer vision and cooperative perception will find this book of material assistance with their studies.
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