Extensions with RFSs in SLAM

QR Code

Extensions with RFSs in SLAM

This book demonstrates that the inherent uncertainty of feature maps and feature map measurements can be naturally encapsulated by random finite set models, and subsequently in Chapter 5 proposed the multi-feature RFSSLAM framework and recursion of equations 5.5 and 5.6. The SLAM solutions presented...

Full description

Bibliographic Details
Main Authors:	Mullane, J., Vo, Ba-Ngu, Adams, M., Vo, B.
Format:	Book Chapter
Published:	2011
Online Access:	http://hdl.handle.net/20.500.11937/61599

Similar Items

An RFS ‘Brute force’ formulation for Bayesian SLAM
by: Mullane, J., et al.
Published: (2011)

Rao-Blackwellised RFS Bayesian SLAM
by: Mullane, J., et al.
Published: (2011)

Circumventing the Feature Association Problem in SLAM
by: Adams, M., et al.
Published: (2013)

A Random-Finite-Set Approach to Bayesian SLAM
by: Mullane, J., et al.
Published: (2011)

Random Finite Sets for Robot Mapping and SLAM: New Concepts in Autonomous Robotic Map Representations
by: Mullane, J., et al.
Published: (2011)

SLAM Gets a PHD: New Concepts in Map Estimation
by: Adams, M., et al.
Published: (2014)

Extending Bayesian RFS SLAM to multi-vehicle SLAM
by: Moratuwage, D., et al.
Published: (2012)

A hierarchical approach to the Multi-Vehicle SLAM problem
by: Moratuwage, D., et al.
Published: (2012)

Collaborative Multi-vehicle SLAM with moving object tracking
by: Moratuwage, D., et al.
Published: (2013)

Why random finite sets?
by: Mullane, J., et al.
Published: (2011)

An RFS theoretic for Bayesian feature-based robotic mapping
by: Mullane, J., et al.
Published: (2011)

Estimation with random finite sets
by: Mullane, J., et al.
Published: (2011)

Mobile Robotics in a Random Finite Set Framework
by: Mullane, J., et al.
Published: (2014)

Laser and Radar Based Robotic Perception
by: Adams, M., et al.
Published: (2011)

Robotic Navigation and Mapping with Radar
by: Adams, M., et al.
Published: (2012)

A random finite set conjugate prior and application to multi-target tracking
by: Vo, Ba Tuong, et al.
Published: (2011)

Multi-Scan Generalized Labeled Multi-Bernoulli Filter
by: Vo, Ba Tuong, et al.
Published: (2018)

A Multi-Scan Labeled Random Finite Set Model for Multi-Object State Estimation
by: Vo, Ba-Ngu, et al.
Published: (2019)

An implementation of the multi-sensor generalized labeled multi-Bernoulli filter via Gibbs sampling
by: Vo, Ba-Ngu, et al.
Published: (2017)

Labeled Random Finite Sets and Multi-Object Conjugate Priors
by: Vo, Ba Tuong, et al.
Published: (2013)

A stochastic geometric approach to sensor array processing
by: Vo, Ba-Ngu, et al.
Published: (2014)

The para-normal Bayes multi-target filter and the spooky effect
by: Vo, Ba Tuong, et al.
Published: (2012)

Tracking, Identification and Classification of Random Finite Sets
by: Vo, Ba Tuong, et al.
Published: (2013)

Generalized labeled multi-Bernoulli space-object tracking with joint prediction and update
by: Jones, B., et al.
Published: (2016)

Advances in probabilistic modeling: Applications of stochastic geometry
by: Adams, M., et al.
Published: (2014)

Generalised labelled multi-Bernoulli forward-backward smoothing
by: Beard, M., et al.
Published: (2016)

Bayesian multi-target tracking with merged measurements using labelled random finite sets
by: Beard, M., et al.
Published: (2015)

CPHD filtering with unknown clutter rate and detection profile
by: Mahler, R., et al.
Published: (2011)

CPHD Filtering With Unknown Clutter Rate and Detection Profile
by: Mahler, R., et al.
Published: (2011)

OSPA(2): Using the OSPA metric to evaluate multi-target tracking performance
by: Beard, Michael, et al.
Published: (2017)

A Generalized Labeled Multi-Bernoulli filter for maneuvering targets
by: Punchihewa, Y., et al.
Published: (2016)

A Solution for Large-Scale Multi-Object Tracking
by: Beard, Michael, et al.
Published: (2020)

Multi-Sensor Multi-Object Tracking with the Generalized Labeled Multi-Bernoulli Filter
by: Vo, Ba-Ngu, et al.
Published: (2019)

Performance Evaluation for Large-Scale Multi-Target Tracking Algorithms
by: Beard, Michael, et al.
Published: (2018)

Multitarget Filtering With Unknown Clutter Density Using a Bootstrap GMCPHD Filter
by: Beard, Michael, et al.
Published: (2013)

A fast implementation of the generalized labeled multi-Bernoulli filter with joint prediction and update
by: Hoang, H., et al.
Published: (2015)

A Partially Uniform Target Birth Model for Gaussian Mixture PHD/CPHD Filtering
by: Beard, Michael, et al.
Published: (2013)

Multi-target tracking with merged measurements using labelled random finite sets
by: Beard, Michael, et al.
Published: (2014)

The Cardinality Balanced Multi-Target Multi-Bernoulli Filter and Its Implementations
by: Vo, Ba Tuong, et al.
Published: (2009)

Closed form solutions to forward-backward smoothing
by: Vo, Ba-Ngu, et al.
Published: (2012)