SGDO-SLAM: A Semantic RGB-D SLAM System with Coarse-to-Fine Dynamic Rejection and Static Weighted Optimization. [PDF]
Sensors (Basel)Hu Q +7 more
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Enhancing LiDAR-IMU SLAM for Infrastructure Monitoring via Dynamic Coplanarity Constraints and Joint Observation. [PDF]
Sensors (Basel)Feng Z, Chen J, Liang Y, Liu W, Peng Y.
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Impact of Underwater Image Enhancement on Feature Matching. [PDF]
Sensors (Basel)Summers JM, Jones MW, Seale C.
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Development of an Orchard Inspection Robot: A ROS-Based LiDAR-SLAM System with Hybrid A*-DWA Navigation. [PDF]
Sensors (Basel)Qu J, Gu Y, Qiu Z, Guo K, Zhu Q.
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Smart Safety Helmets with Integrated Vision Systems for Industrial Infrastructure Inspection: A Comprehensive Review of VSLAM-Enabled Technologies. [PDF]
Sensors (Basel)Merchán-Cruz EA +8 more
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A Robust Framework Fusing Visual SLAM and 3D Gaussian Splatting with a Coarse-Fine Method for Dynamic Region Segmentation. [PDF]
Sensors (Basel)Chen Z, Hu Y, Liu Y.
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SP-SLAM: Surfel-Point Simultaneous Localization and Mapping
IEEE/ASME Transactions on Mechatronics, 2022In this article, a novel method for simultaneous localization and mapping (SLAM) named surface elements (surfel) point SLAM (SP-SLAM) is proposed using an RGB-D camera. The key idea of SP-SLAM is to use not only keypoints but also surfels as features to cope with both high texture and low texture environments.
Hae Min Cho, HyungGi Jo, Euntai Kim
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Map Management for Efficient Simultaneous Localization and Mapping (SLAM)
Autonomous Robots, 2002zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Dissanayake, Gamini +3 more
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Review on simultaneous localization and mapping (SLAM)
2015 IEEE International Conference on Control System, Computing and Engineering (ICCSCE), 2015Simultaneous localization and mapping (SLAM) is a technique applied in artificial intelligence mobile robot for a self-exploration in numerous geographical environment. SLAM becomes fundamental research area in recent days as it promising solution in solving most of problems which related to the self-exploratory oriented artificial intelligence mobile ...
Alif Ridzuan Khairuddin +2 more
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Simultaneous localization and mapping (SLAM): part II
IEEE Robotics & Automation Magazine, 2006This paper discusses the recursive Bayesian formulation of the simultaneous localization and mapping (SLAM) problem in which probability distributions or estimates of absolute or relative locations of landmarks and vehicle pose are obtained.
T. Bailey, H. Durrant-Whyte
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