FloorSense: a novel crowdsourcing map construction algorithm based on conditional random field

Special issue on knowledge discovery and user modeling for smart cities

“…Jiang et al [5] address the topic of indoor map construction using crowdsourcing techniques. The paper presents a map construction system able to generate a grammar map based on the integration of the crowdsourcing traces, which include semantic information from user activities, and build a semantic map exploiting Conditional Random Field prediction.…”

“…The second group of papers focuses on how the mobility data gathered by individual citizens can be used to improve the quality of life of these citizens. Among the novelties proposed by this group of papers, we find a method to manage tourist crowds based on real-time traffic and booking information [1], as well as methods to identify social activities in shopping malls [5] and in a larger metropolitan area [2,8].…”