The work of ESR6 on collaborative indoor positioning has been has been selected as an “Editor’s Choice Article” in Sensors’ journal. This work presented a systematic review of current collaborative indoor positioning systems.
A total of 84 works, published between 2006 and 2020, were analyzed and classified according to the described system’s architecture, infrastructure, technologies, techniques, methods, and evaluation. The results indicated a growing interest in collaborative positioning and a trend towards the use of distributed architectures and infrastructure-less systems. The predominant collaborative positioning techniques were identified as Received Signal Strength Indication, Fingerprinting, and Time of Arrival/Flight, and the collaborative methods most in use were identified as particle filters, Belief Propagation, Extended Kalman Filter, and Least Squares. On the basis of the analysis and results, several promising future research avenues and gaps in research were also identified and listed in the paper.