Title
Word Ordering and Document Adjacency for Large Loop Closure Detection in 2-D Laser Maps.
Abstract
We address in this letter the problem of loop closure detection for laser-based simultaneous localization and mapping (SLAM) of very large areas. Consistent with the state of the art, the map is encoded as a graph of poses, and to cope with very large mapping capabilities, loop closures are asserted by comparing the features extracted from a query laser scan against a previously acquired corpus of...
Year
DOI
Venue
2017
10.1109/LRA.2017.2657796
IEEE Robotics and Automation Letters
Keywords
Field
DocType
Feature extraction,Simultaneous localization and mapping,Two dimensional displays,Hidden Markov models,Databases
Adjacency list,Closure (computer programming),Control theory,Computer science,Artificial intelligence,Simultaneous localization and mapping,Computer vision,Precision and recall,Algorithm,Frame rate,Worst-case scenario,Robot,Topological graph theory
Journal
Volume
Issue
ISSN
2
3
2377-3766
Citations 
PageRank 
References 
1
0.35
23
Authors
3
Name
Order
Citations
PageRank
Jeremie Deray122.07
Joan Solà227719.66
Juan Andrade-Cetto31404251.42