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Original loop-closure detection algorithm for monocular vSLAM is suitable for dense, semi-dense and feature-based vSLAM methods. We evaluate the algorithm experimentally

Sparse 3D point-cloud map upsampling and noise removal as a vSLAM post-processing step: Experimental evaluation-processing techniques applied to sparse 3D point-cloud maps, obtained by feature-based vSLAM algorithms. Map post

Enhancing semi-dense monocular vSLAM used for multi-rotor UAV navigation in indoor environment by fusing IMU data and mapping (vSLAM) method, e.g. LSD-SLAM, used for compact multi-rotor UAV indoor navigation, by fusing

Comparative analysis of ROS-based centralized methods for conducting collaborative monocular visual SLAM using a pair of UAVs, simultaneous localization and mapping (SLAM) and other tasks. SLAM approaches are based on various sensors

Russian mobile robot Servosila Engineer: designing an optimal integration of an extra laser range finder for SLAM purposes finder for SLAM purposes

Map-merging algorithms for visual slam: Feasibility study and empirical evaluationSimultaneous localization and mapping, especially the one relying solely on video data (vSLAM

Термин big data в робототехнике статистических данных, оптимизации, компьютерного зрения, например SLAM. Данная методика объединяет шаги

THE EVALUATION ON VISION-BASED SIMULTANEOUS LOCALIZATION AND MAPPING ALGORITHM IN SIMULATED ENVIRONMENT and mapping (vSLAM). We introduce the methodology based on Habitat simulator usage, that al ows the arbitrary

Comparative analysis of ROS-based monocular SLAM methods for indoor navigation© 2017 SPIE. This paper presents a comparison of four most recent ROS-based monocular SLAM

On the Problems of SLAM Simulation for Mobile Robots in the Arctic Conditions problems of using simultaneous localization and mapping (SLAM) algorithms in the Arctic region

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