Joint compatibility branch and bound
Semantic Scholar uses AI to extract papers important to this topic.
In this paper, we consider the problem of data association in feature cloud matching. While Joint Compatibility (JC) test is a… Expand In this work, we address the problem of robust data association for feature cloud matching. For matching two feature clouds… Expand We present a novel approach, entitled acoustic structure from motion (ASFM), for recovering 3D scene structure from multiple 2D… Expand Object discovery and modeling have been widely studied in the computer vision and robotics communities. SLAM approaches that make… Expand Javier Civera and Oscar G. Grasa Robotics, Perception and Real-Time Group, Universidad de Zaragoza, Zaragoza 50018, Spain e-mail… Expand One of the main drawbacks of standard visual EKF-SLAM techniques is the assumption of a general camera motion model. Usually this… Expand Localization is a key issue in multirobot formations, but it has not yet been sufficiently studied. In this paper, we propose a… Expand In the feature matching tasks which form an integral part of visual tracking or SLAM (Simultaneous Localisation And Mapping… Expand Simultaneous localization and mapping (SLAM) for the mobile robot navigation has two main problems. The first problem is the… Expand We present an efficient integer programming (IP) based data association approach to simultaneous localization and mapping (SLAM… Expand