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Joint compatibility branch and bound

Known as: JCBB 
Joint compatibility branch and bound (JCBB) is an algorithm in computer vision and robotics commonly used for data association in simultaneous… 
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Related topics

Related topics

5 relations
AlgorithmRoboticsSimultaneous localization and mapping

Broader (2)

Computer visionRobot control

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Conditional Compatibility Branch and Bound for Feature Cloud Matching
In this paper, we consider the problem of data association in feature cloud matching. While Joint Compatibility (JC) test is a… 
2016
2016
Fast Joint Compatibility Branch and Bound for feature cloud matching
In this work, we address the problem of robust data association for feature cloud matching. For matching two feature clouds… 
Highly Cited
2014
Highly Cited
2014
Fast and Robust Data Association Using Posterior Based Approximate Joint Compatibility Test
Data association is a fundamental problem in multisensor fusion, tracking, and localization. The joint compatibility test is… 
2014
2014
Natural corners-based two-dimensional (2D) SLAM with partial compatibility algorithm in indoor environment
This paper presents a natural corners-based two-dimensional (2D) Simultaneous Localization and Mapping (SLAM) with a robust data… 
2014
2014
Data association technology based on multi algorithm matching for SLAM
Data association is one of the critical questions to mobile robot simultaneous localization and mapping (SLAM). A data… 
2013
2013
A vision-based collision avoidance technique for micro air vehicles using local-level frame mapping and path planning
This paper presents a vision-based collision avoidance technique for small and miniature air vehicles (MAVs) using local-level… 
2013
2013
Bayesian multi-hypothesis scan matching
This paper proposes a multi-hypothesis solution to the simplified problem of simultaneous localization and mapping (SLAM) that… 
2012
2012
IPJC: The Incremental Posterior Joint Compatibility test for fast feature cloud matching
One of the fundamental challenges in robotics is data-association: determining which sensor observations correspond to the same… 
2010
2010
Visual odometry priors for robust EKF-SLAM
One of the main drawbacks of standard visual EKF-SLAM techniques is the assumption of a general camera motion model. Usually this… 
2009
2009
Independent Local Mapping for Large-Scale SLAM
SLAM algorithms do not perform consistent maps for large areas mainly due to the uncertainties that become prohibitive when the… 
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