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
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 робототехникеИзгачев, И. Ю.,
Аниховский, М. А.,
Шиманский, В. В.,
Анисимов, В. Я.,
Izgachev, I. Y.,
Anikhouski, M. A.,
Shimanski, V. V.,
Anisimov, V. Y. 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