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RoboMapper: An Automated Signal Mapping Robot for RSSI Fingerprinting

Tacha Şerif, Osman Kerem Perente, Yusuf Dalan

发表年份
2019
引用次数
8

摘要

With the ever-increasing numbers of mobile devices, location-based services became a crucial part of mobile development. Many indoor location detection systems are developed to solve positioning problem where satellite-based solutions prone to failure. Among many proposed solutions, fingerprinting technique proved to be the most reliable approach for indoor location. However, it comes with a cost; it entails a time-consuming learning phase which should be repeated many times during the system's life time to preserve system accuracy. Thus, we propose an automated signal mapping robot called RoboMapper to alleviate time-consuming nature of the learning phase of fingerprinting technique. With the help of its accurate distance keeping mechanisms, RoboMapper can construct the signal map of the environment so that the created map can be used for user positioning. Our findings indicate that using RoboMapper 2.68-meter positioning accuracy with 70% probability can be achieved.

关键词

Computer scienceMobile robotRobotReal-time computingArtificial intelligenceSIGNAL (programming language)Global Positioning SystemComputer visionSimultaneous localization and mappingConstruct (python library)

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