Paper
1 April 1991 Using robust statistics for sensor fusion
Raymond McKendall, Max Mintz
Author Affiliations +
Proceedings Volume 1383, Sensor Fusion III: 3D Perception and Recognition; (1991) https://doi.org/10.1117/12.25294
Event: Advances in Intelligent Robotics Systems, 1990, Boston, MA, United States
Abstract
The purpose of this article is to describe research in sensor fusion with statistical decision theory in the GRASP Lab, Department of Computer and Information Science, University of Pennsylvania. This article is thus a tutorial overview of the general research problem, the mathematical framework for the analysis, and the results of specific research problems. The intended audience for this article is a reader seeking a self-contained summary of the research. The prerequisite for understanding this article is familiarity with basic mathematical statistics.
© (1991) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Raymond McKendall and Max Mintz "Using robust statistics for sensor fusion", Proc. SPIE 1383, Sensor Fusion III: 3D Perception and Recognition, (1 April 1991); https://doi.org/10.1117/12.25294
Lens.org Logo
CITATIONS
Cited by 2 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Sensor fusion

Sensors

Statistical analysis

Error analysis

Tolerancing

3D modeling

Statistical modeling

Back to Top