A computationally efficient distributed Bayesian filter with random finite set observations

•The first ever distributed Bayes filter with random finite set observations.•Efficient GM merging and pruning using gates driven via the Occamfs window method.•Improved flooding approach with parallelization of internode communication and fusion.•Computationally efficient consensus based on the principle of principal component analysis.•Real-world experimental validation.