DynNetSLAM: Dynamic Visual SLAM Network Offloading
Author:
Affiliation:
1. Deutsche Telekom Chair, 5G Laboratory Germany, Technische Universität Dresden, Dresden, Germany
2. School of Electrical, Computer, and Energy Engineering, Arizona State University, Tempe, AZ, USA
Funder
Audi AG, German Federal Ministry of Education and Research (BMBF), through the Project 5G Insel
Software Campus R-SLAM
German Research Foundation (DFG) through Germany’s Excellence Strategy EXC 2050/1 – Project
Cluster of Excellence Centre for Tactile Internet with Human-in-the-Loop (CeTI) of Technical University of Dresden
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09934887.pdf?arnumber=9934887
Reference88 articles.
1. Cloud-based realtime robotic Visual SLAM
2. Parallel Tracking and Mapping for Small AR Workspaces
3. C2TAM: A Cloud framework for cooperative tracking and mapping
4. A Graph Optimization-Based Acoustic SLAM Edge Computing System Offering Centimeter-Level Mapping Services with Reflector Recognition Capability
5. YOLOv3: An incremental improvement;redmon;arXiv 1804 02767,2018
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1. Circular Frame Buffer to Enhance Map Synchronization in Edge Assisted SLAM;ICC 2023 - IEEE International Conference on Communications;2023-05-28
2. Robot/UAV Indoor Visual SLAM in Smart Cities Based on Remote Data Processing;2023 International Russian Smart Industry Conference (SmartIndustryCon);2023-03-27
3. Offloading Visual SLAM Processing to the Edge: An Energy Perspective;2023 International Conference on Information Networking (ICOIN);2023-01-11
4. A Survey of Visual SLAM Methods;IEEE Access;2023
5. Comparison of Analyze-Then-Compress Methods in Edge-Assisted Visual SLAM;IEEE Access;2023
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