The Best Paper Award is the recognition that the Scientific Committee of the IEEE International Symposium on Robotic and Sensor Environments assigned to the research work entitled "Scale up to infinity: the UWB Indoor Global Positioning System", authored by Luca Santoro, Matteo Nardello, Davide Brunelli and Daniele Fontanelli. The article was recognized as highly innovative, relevant for the advancement of the state of the art in the field of indoor localization and of inspiration for other researchers in the field.
Abstract of the article
Determining assets position with high accuracy and scalability is one of the most investigated problem on the market. The accuracy provided by satellites-based positioning systems (i.e., GLONASS or Galileo) is not always sufficient when a decimeter-level accuracy is required or when there is the need of localising entities that operate inside indoor environments. Scalability is also a recurrent problem when dealing with indoor positioning systems. This paper presents an innovative UWB Indoor GPS-Like local positioning system able to track any number of assets without decreasing measurements update rate. To increase the system’s accuracy the mathematical model and the sources of uncertainties are investigated.