Results 141 to 150 of about 24,073 (191)
A Frontier Review of Semantic SLAM Technologies Applied to the Open World. [PDF]
Miao L, Liu W, Deng Z.
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Large scale analysis of dataset and simulation biases in SLAM research. [PDF]
Anjum ML +5 more
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Semantic and fiducial-aided graph simultaneous localization and mapping (SF-GraphSLAM) for robotic in-space assembly and servicing of large truss structures. [PDF]
Chapin S, Chapin W, Komendera E.
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Smart ROUV advances for enhanced navigation in the Suez Canal. [PDF]
Oqda K +11 more
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Towards Biologically-Inspired Visual SLAM in Dynamic Environments: IPL-SLAM with Instance Segmentation and Point-Line Feature Fusion. [PDF]
Liu J, Yao D, Liu N, Yuan 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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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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