Optimization-Based Localization is a robot localization method that formulates the estimation of multi-robot poses as a mathematical optimization problem, wherein the solution minimizes a cost function derived from sensor measurements and motion models to achieve consistent and accurate spatial configuration.
380
Publications
18K
Citations
1.1K
Authors
429
Institutions
Publications per year
2017–2026
160
Parents
Publications
380
G<sup>2</sup>o: A general framework for graph optimization
Rainer Kümmerle, Giorgio Grisetti, Hauke Strasdat et al. · 2011 · 2K citations
A Tutorial on Graph-Based SLAM
Giorgio Grisetti, Rainer Kümmerle, Cyrill Stachniss et al. · IEEE Intelligent Transportation Systems Magazine · 2010 · 1.3K citations
The spherical simplex unscented transformation
S.J. Julier · 2004 · 335 citations
1–5 of 380
Authors
1.1K
- GW
7
h-index
- SX
6
h-index
- BD
6
h-index
- WB
6
h-index
- SH
5
h-index
1–5 of 1.1K
Institutions
429
University of Technology Sydney
Sydney, Australia
10 h-index
24 publications
763 citations
Xidian University
Xi'an, China
9 h-index
25 publications
839 citations
University of South Australia
Adelaide, Australia
9 h-index
13 publications
1.1K citations
Nanyang Technological University
Singapore, Singapore
8 h-index
19 publications
1K citations
Ningbo University
Ningbo, China
8 h-index
18 publications
1.2K citations
Chinese Academy of Sciences
Beijing, China
8 h-index
23 publications
1.1K citations
Australian National University
Canberra, Australia
7 h-index
10 publications
383 citations
University of Freiburg
Freiburg im Breisgau, Germany
7 h-index
21 publications
10.3K citations
1–8 of 429
Venues
- Sensors
14 publications · 381 citations
12
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- IEEE Transactions on Signal Processing
10 publications · 708 citations
10
h-index
- IEEE Transactions on Wireless Communications
10 publications · 684 citations
10
h-index
- IEEE Sensors Journal
9 publications · 282 citations
9
h-index
- IEEE Transactions on Aerospace and Electronic Systems
9 publications · 469 citations
9
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1–5