Edge-SLAM

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.

Links

[GitHub Repository] [Presentation Video] [Presentation Slides] [Demonstration Abstract] [Demonstration Elevator Pitch Video] [Demonstration Full Video]

Contributors

Ali J. Ben Ali, Zakieh Sadat Hashemifar, Karthik Dantu

Publications

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 pdf