~/talk

SwarmMap: Scaling Up Real-time Collaborative Visual SLAM at the Edge

name:Jingao Xu
links:none on file
name:Hao Cao
links:none on file
links:none on file
links:none on file
links:none on file
name:Xiaowu He
links:none on file
links:none on file
slides:none on file

SwarmMap is an edge framework that logs and replays SLAM operations to avoid sending full maps, uses a change-log synchronization layer, a priority-aware STS scheduler for optimization requests, and a map-backbone profiling (MBP) step that generates virtual keyframes to boost low-quality segments. Implementation is ROS-compatible and open-sourced. Evaluation and a three-month oil‑field pilot show at least 20% lower bandwidth, 95–105 ms end-to-end latency, 2× agent capacity (>20 agents), 38 cm average trajectory error and tracking loss under 4%.

AI-written summary · about

  1. 0:00Intro
  2. 0:34Background
  3. 3:03Scalability issues
  4. 6:11Key Insight
  5. 8:26Mapit - Map Information Tracker
  6. 10:31MBP - Map Backbone Profiling
  7. 11:15STS - SLAM-Specific Task Scheduling
  8. 12:30Experiments
  9. 16:04Conclusion
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