Titlebook: Distributed Consensus with Visual Perception in Multi-Robot Systems; Eduardo Montijano,Carlos Sagüés Book 2015 Springer International Publ

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https://doi.org/10.1007/978-1-4684-6521-1 network must be able to fuse its perception of the world in a robust way. Data association mistakes and measurement errors are some of the factors that can contribute to an incorrect consensus value. In this chapter, we present a distributed scheme for robust consensus in autonomous robotic network

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https://doi.org/10.1007/978-1-4684-6521-1d averaging methods usually have a slow convergence rate. In this chapter, we analyze the use of Chebyshev polynomials in the distributed consensus problem to reduce the number of iterations required to achieve a good consensus. We present a distributed linear iteration using these polynomials that

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https://doi.org/10.1007/978-3-319-15699-6Camera Networks; Cooperative Perception; Distributed Algorithms; Distributed Computer Vision; Distribute

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