Edge-SLAM is an edge-assisted visual simultaneous localization and mapping. Edge-SLAM adapts Visual-SLAM into edge computing architecture to enable long operation of Visual-SLAM on mobile devices. This is achieved by offloading the computation-intensive modules to the edge. Thus, Edge-SLAM reduces resource usage on the mobile device and keeps it constant. Edge-SLAM is implemented on top of ORB-SLAM2 and is publicly available on GitHub.
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[Demonstration Full Video]
Ali J. Ben Ali, Zakieh Sadat Hashemifar, Karthik Dantu
Ben Ali, A. J., Hashemifar, Z. S., & Dantu, K. (2020). Edge-SLAM: Edge-Assisted Visual Simultaneous Localization and Mapping. Proceedings of the 18th International Conference on Mobile Systems, Applications, and Services, 325–337. https://doi.org/10.1145/3386901.3389033