Comparison of Analyze-Then-Compress Methods in Edge-Assisted Visual SLAM

Comparison of Analyze-Then-Compress Methods in Edge-Assisted Visual SLAM

In edge-assisted visual Simultaneous Localization and Mapping (SLAM), mobile devices offload computationally intensive tasks to an edge cloud. The mobile device should transfer its input data to the edge cloud in a resource-efficient way, especially in visual SLAM systems with their very large image...

Full description

Bibliographic Details
Main Authors: Johannes Hofer, Peter Sossalla, Christian L. Vielhaus, Justus Rischke, Martin Reisslein, Frank H. P. Fitzek
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Edge computing
feature representation
key frame
low latency communication
network throughput
visual simultaneous localization and mapping (vSLAM)
Online Access:https://ieeexplore.ieee.org/document/10168126/

Internet

https://ieeexplore.ieee.org/document/10168126/

Similar Items