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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… 
2018
2018
A Novel Data Association Approach for SLAM of Mobile Robot
Data association is significantly important for SLAM. The correct data association may improve the accuracy of localization. In… 
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… 
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… 
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
A Hybrid Data Association Strategy in SLAM
Data association is one of the key issues in SLAM. Against the accuracy of NN data association is low, but its efficiency is high… 
2012
2012
Simulated Tom Thumb, the Rule Of Thumb for Autonomous Robots
For a mobile robot to be truly autonomous, it must solve the simultaneous localization and mapping (SLAM) problem. We develop a… 
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… 
2008
2008
Orientation correction based monocular SLAM for a mobile robot
We develop a new algorithm for SLAM that uses a PTZ-camera for visual observation of natural landmarks. A new divided JCBB… 
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