A Bayesian framework with auxiliary particle filter for GMTI based ground vehicle tracking aided by domain knowledge

M Yu; C Liu; W-H Chen; J Chambers

doi:10.1117/12.2050160

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A Bayesian framework with auxiliary particle filter for GMTI based ground vehicle tracking aided by domain knowledge

M Yu, C Liu, W-H Chen and J Chambers

SIGNAL PROCESSING, SENSOR/INFORMATION FUSION, AND TARGET RECOGNITION XXIII, Vol.9091

Conference on Signal Processing, Sensor/Information Fusion, and Target Recognition XXIII (Baltimore, MA, 05/05/2014 - 08/05/2014)

01/01/2014

DOI: https://doi.org/10.1117/12.2050160

Abstract

Science & Technology

Technology

Physical Sciences

Engineering

Electrical & Electronic

Optics

Engineering

TARGET TRACKING

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Title: A Bayesian framework with auxiliary particle filter for GMTI based ground vehicle tracking aided by domain knowledge
Creators: M Yu
C Liu
W-H Chen
J Chambers
Contributors: I Kadar
SPIE-INT SOC OPTICAL ENGINEERING (Publisher)
Publication Details: SIGNAL PROCESSING, SENSOR/INFORMATION FUSION, AND TARGET RECOGNITION XXIII, Vol.9091
Conference: Conference on Signal Processing, Sensor/Information Fusion, and Target Recognition XXIII (Baltimore, MA, 05/05/2014 - 08/05/2014)
Date published: 01/01/2014
Date submitted: 17/05/2017
Identifiers: 99512990602346
Academic Unit: University of Surrey
Resource Type: Conference presentation

A Bayesian framework with auxiliary particle filter for GMTI based ground vehicle tracking aided by domain knowledge

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