Integrity Determination for Image Rendering Vision Navigation

Abstract

This research addresses the lack of rigorous and quantitative integrity approaches for vision navigation systems. Two unique approaches are developed under this research for determining the uncertainty and integrity for a vision based, precision relative navigation system. The first technique is based on developing a discrete detection scheme for determining when large excursions from the desired operation envelope occur. The second approach utilizes a generalized Bayesian inference approach, in which a full probability density function determination of the state estimate is realized.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2016
Accession Number
AD1053789

Entities

People

  • Sean M. Calhoun

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Autonomy
  • Space

DTIC Thesaurus Topics

  • Accuracy
  • Aircrafts
  • Artificial Satellites
  • Bayesian Inference
  • Change Detection
  • Computational Science
  • Computer Graphics
  • Computer Vision
  • Data Mining
  • Data Science
  • Databases
  • Detection
  • Detectors
  • Digital Image Processing
  • Gaussian Distributions
  • Image Processing
  • Inertial Navigation
  • Inertial Navigation Systems
  • Information Processing
  • Information Science
  • Information Systems
  • Machine Learning
  • Mathematical Filters
  • Navigation
  • Pattern Recognition
  • Simultaneous Localization And Mapping
  • Statistical Analysis
  • Statistical Inference
  • Tanker Aircraft

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Positioning, Navigation, and Timing (PNT) Technology.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference