Road Network Conflation Based on Radar Tracks

Abstract

Using ground target radar tracks as building blocks, sophisticated road map estimation and fusion algorithms are developed. A maximum likelihood road estimator, as well as its corresponding Cramer-Rao lower bound, is derived. A track to road association approach is developed to align track segments to existing road segments. If a track is associated to any existing road segment, a track to road fusion algorithm is proposed to fuse the track with the corresponding road segment to improve the road map accuracy; otherwise, a new road is added to the road network. Numerical results are provided to demonstrate the effectiveness of the proposed road estimation and fusion approach.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2014
Accession Number
ADA600348

Entities

People

  • Pramod Varshney
  • Ruixin Niu

Organizations

  • Syracuse University

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Accuracy
  • Air Force
  • Air Force Research Laboratories
  • Algorithms
  • Coordinate Systems
  • Estimators
  • Geographic Coordinate Systems
  • Government Procurement
  • Governments
  • Ground Moving Target Indicators
  • Information Science
  • Maximum Likelihood Estimation
  • Optimal Estimators
  • Statistical Algorithms
  • Synthetic Aperture Radar
  • Three Dimensional
  • Two Dimensional

Fields of Study

  • Engineering

Readers

  • Computer Vision.
  • Statistical inference.