Title
Multi-Sensor Fusion: A Perspective
Abstract
A survey of the state of the art in multisensor fusion is presented. Papers related to fusion have been surveyed and classified into six categories: scene segmentation, representation, 3-D shape, sensor modeling, autonomous robots, and object recognition. A number of fusion strategies have been employed to combine sensor outputs. These strategies range from simple set intersection, logical and operations, and heuristic production rules to more complex methods involving nonlinear least-squares fits and maximum-likelihood estimates. Sensor uncertainty has been modeled using Bayesian probabilities and support and plausibility involving the Dempster-Shafer formalism.
Publication Date
12-1-1990
Number of Pages
1324-1330
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
Copyright Status
Unknown
Socpus ID
0025693342 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/0025693342
STARS Citation
Hackett, Jay K. and Shah, Mubarak, "Multi-Sensor Fusion: A Perspective" (1990). Scopus Export 1990s. 1442.
https://stars.library.ucf.edu/scopus1990/1442