Senscape: Modeling and presentation of uncertainty in fused sensor data live image streams

Henry Dietz, Paul Eberhart

Research output: Contribution to journalConference articlepeer-review

3 Scopus citations


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.

Original languageEnglish
Article number392
JournalIS and T International Symposium on Electronic Imaging Science and Technology
Issue number6
StatePublished - Jan 26 2020
Event2020 Intelligent Robotics and Industrial Applications Using Computer Vision Conference, IRIACV 2020 - Burlingame, United States
Duration: Jan 26 2020Jan 30 2020

Bibliographical note

Publisher 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
  • Software
  • Electrical and Electronic Engineering
  • Atomic and Molecular Physics, and Optics


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