3D Fusion of Infrared Images with Dense RGB Reconstruction from Multiple Views -- with Application to Fire-fighting Robots
This addresses the need for enhanced situational awareness in fire-fighting robots, though it appears incremental as it combines existing imaging techniques.
The project tackled the problem of creating dense 3D environment models by integrating infrared and RGB imagery from multiple views, resulting in a 3D map with thermal and RGB information for applications like identifying victims and active fire areas in robotic fire-fighting.
This project integrates infrared and RGB imagery to produce dense 3D environment models reconstructed from multiple views. The resulting 3D map contains both thermal and RGB information which can be used in robotic fire-fighting applications to identify victims and active fire areas.