Large-scale Localization
Large-Scale Localization is a landmark-based localization method that enables precise position estimation across extensive environments by leveraging distributed landmark systems to maintain accuracy and consistency over large geographic areas.
130
Publications
11.7K
Citations
411
Authors
172
Institutions
Publications per year
2017–2026
55
Parents
130
D2-Net: A Trainable CNN for Joint Description and Detection of Local Features
Mihai Dusmanu, Ignacio Rocco, Tomáš Pajdla et al. · 2019 · 1.1K citations
Consistency of the EKF-SLAM Algorithm
Tim Bailey, Juan Nieto, José Guivant et al. · 2006 · 564 citations
1–5 of 130
411
11
h-index
8
h-index
7
h-index
7
h-index
Institut national de recherche en sciences et technologies du numérique, France
7 publications · 2.1K citations
7
h-index
1–5 of 411
172
ETH Zurich
Zurich, Switzerland
12 h-index
33 publications
6.9K citations

Czech Technical University in Prague
Prague, Czechia
6 h-index
14 publications
4.7K citations
Tokyo Institute of Technology
Tokyo, Japan
6 h-index
14 publications
3.8K citations
Microsoft (United States)
Redmond, United States
6 h-index
10 publications
2.3K citations
Stony Brook University
Stony Brook, United States
5 h-index
13 publications
759 citations
SRI International
Menlo Park, United States
5 h-index
9 publications
262 citations
Georgia Institute of Technology
Atlanta, United States
4 h-index
10 publications
470 citations

The University of Sydney
Sydney, Australia
4 h-index
9 publications
3K citations
1–8 of 172
Repository · 8 publications · 238 citations
8
h-index
TPAMI · 5 publications · 1.1K citations
5
h-index
Conference · 4 publications · 180 citations
4
h-index
4 publications · 192 citations
4
h-index
Conference · 4 publications · 278 citations
4
h-index
1–5