Fusion of data from multiple sensors is a difficult problem. Most recent work centers on techniques that allow image data from multiple similar sources to be aligned and used to improve apparent image quality or field of view. In contrast, the current work centers on modeling and representation of uncertainty in real-time fusion of data from fundamentally dissimilar sensors. Where multiple sensors of differing type, resolution, field of view, and sample rate are providing scene data, the proposed scheme directly models uncertainty and provides an intuitive mechanism for visually representing the time-varying level of confidence in the correctness of fused sensor data producing a live image stream.
|Journal||IS and T International Symposium on Electronic Imaging Science and Technology|
|State||Published - Jan 26 2020|
|Event||2020 Intelligent Robotics and Industrial Applications Using Computer Vision Conference, IRIACV 2020 - Burlingame, United States|
Duration: Jan 26 2020 → Jan 30 2020
Bibliographical notePublisher Copyright:
© 2020 Society for Imaging Science and Technology. All rights reserved.
ASJC Scopus subject areas
- Computer Graphics and Computer-Aided Design
- Computer Science Applications
- Human-Computer Interaction
- Electrical and Electronic Engineering
- Atomic and Molecular Physics, and Optics