Paper Info
Title
Navigating the Landscape for Real-time Localisation and Mapping for Robotics and Virtual and Augmented Reality.
Abstract
Visual understanding of 3-D environments in real time, at low power, is a huge computational challenge. Often referred to as simultaneous localization and mapping (SLAM), it is central to applications spanning domestic and industrial robotics, autonomous vehicles, and virtual and augmented reality. This paper describes the results of a major research effort to assemble the algorithms, architecture...
Year
DOI
Venue
2018
10.1109/JPROC.2018.2856739
Proceedings of the IEEE
Keywords
DocType
Volume
Simultaneous localization and mapping,Software algorithms,High performance computing,Runtime,Tuning,Real-time systems,Computer architecture,Simultaneous localization and mapping,Performance evaluation,Simulation
Journal
106
Issue
ISSN
Citations 
11
0018-9219
4
PageRank 
References 
Authors
0.45
49
26
Name
Order
Citations
PageRank
Sajad Saeedi1192.85
Bruno Bodin2492.94
Harry Wagstaff3354.77
Andy Nisbet426523.55
Luigi Nardi5766.94
John Mawer6644.50
Nicolas Melot740.45
Oscar Palomar89515.42
Emanuele Vespa9343.03
Tom Spink10174.79
Cosmin Gorgovan11184.43
Andrew Webb12436.78
James Clarkson13101.61
Erik Tomusk14121.91
Thomas Debrunner1550.88
Kuba Kaszyk1661.85
Pablo González de Aledo1740.79
Andrey Rodchenko18142.05
Graham D. Riley198914.07
Christos Kotselidis2023317.35
Björn Franke2174447.31
Michael F. P. O'Boyle22434.20
Andrew J. Davison236707350.85
Paul H. J. Kelly241361112.65
Mikel Luján2554046.40
Steve B. Furber2612712.64