HIGHLIGHTS
- who: Crowdsourcing-Based Indoor Semantic Map and collaborators from the College of Automation and Electronic Engineering, Qingdao University of Science and Technology, Qingdao, China have published the paper: Localization Using Graph Optimization, in the Journal: Sensors 2022, 22, 6263. of /2022/
- what: A graph could also be used for indoor Wi-Fi radio map abstraction, where the activity landmarks were employed as nodes, and the possible user path was employed as edges .
- how: This paper proposes a and localization method using graph optimization. Fusing multiple single-track maps is a feasible solution for . . .
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