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Joint Probabilistic Data Association Filter

Known as: JPDAF, Joint Probabilistic Association Filter 
The joint probabilistic data-association filter (JPDAF) is a statistical approach to the problem of plot association in a radar tracker, in which all… 
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Related topics

Related topics

3 relations
Probabilistic data association filterRadar trackerSimultaneous localization and mapping

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2016
2016
Tracking variable number of targets with Joint Probabilistic Data Association Filter
Joint Probabilistic Data Association Filter (JPDAF) is an algorithm for overcoming the measurement-to-track association problem… 
2016
2016
Hierarchical Sample-Based Joint Probabilistic Data Association Filter for Following Human Legs Using a Mobile Robot in a Cluttered Environment
Human-following in a cluttered environment is one of the challenging issues for mobile service robot applications. Since a laser… 
2014
2014
Tracking multiple interacting targets using a joint probabilistic Data Association filter
In this paper, we describe and evaluate an original Monte Carlo JPDAF for tracking interacting autonomous targets in a cluttered… 
2014
2014
Optimal joint probabilistic data association filter avoiding coalescence in close proximity
This paper deals with an estimation problem where a known number of objects in close proximity are observed but the measurement… 
Highly Cited
2013
Highly Cited
2013
A Multiple-Detection Joint Probabilistic Data Association Filter
Most conventional target tracking algorithms assume that a target can generate at most one measurement per scan. However, there… 
2010
2010
Joint probabilistic data association filter for partially unresolved target groups
In many surveillance problems the observed objects are so closely spaced that they cannot always be resolved by the sensor(s… 
2009
2009
Multi-target Tracking in Wireless Sensor Networks Using Distributed Joint Probabilistic Data Association and Average Consensus Filter
The aim of this paper is to develop a distributed Multi-Target Tracking (MTT) algorithm over wireless sensor networks which has… 
2003
2003
International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance ( PETS
This paper presents a novel approach for continuous detection and tracking of moving objects observed by multiple stationary… 
Highly Cited
2002
Highly Cited
2002
Map building with mobile robots in populated environments
The problem of generating maps with mobile robots has received considerable attention over the past years. However, most of the… 
1991
1991
Tracking of splitting targets in clutter using an interacting multiple model joint probabilistic data association filter
The authors present a recursive algorithm that allows tracking of a target that splits into two targets in a cluttered… 
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