Non-Overlapping Field of View Multicamera Cluster SLAM

Multicamera Cluster SLAM Visualization
This project brings together several novel components to help solve the problem of multi-camera SLAM with non-overlapping fields of view to generate relative pose estimation data. This includes the Multi-Camera Parallel Tracking and Mapping (MCPTAM) algorithm, as well as novel approaches to dealing with scale recovery and reducing degenerate motions for multi-camera SLAM.

For more details, visit the project page on the WAVELab website.

Project details
Status:
Topics:
Project members
Michael Tribou (PhD Student)
Professor Wang (Supervisor)
Professor Waslander (Supervisor)