Demo Data from EDBT 2026 / reviewers in the wild / expert
Yukihiro Tobata
dblp:59/7606
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2009
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Artificial intelligence
1 paper |
Robot navigation and mapping · 100% | |
| Computer graphics and multimedia
1 paper |
Geometric modeling and processing · 100% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Robot navigation and mapping › localization › multi-robot localization
cooperative localization |
0.1 | 1 | 2009 | Laser-based geometric modeling using cooperative multiple mobile robots · ICRA 2009 |
Robotics › Robot navigation and mapping
localization |
0.1 | 1 | 2009 | Laser-based geometric modeling using cooperative multiple mobile robots · ICRA 2009 |
Geometric modeling and processing
3d reconstruction |
0.1 | 1 | 2009 | Laser-based geometric modeling using cooperative multiple mobile robots · ICRA 2009 |
Geometric modeling and processing
laser scanning |
0.1 | 1 | 2009 | Laser-based geometric modeling using cooperative multiple mobile robots · ICRA 2009 |
Robotics › Robot navigation and mapping › robot mapping
multi-robot mapping |
0.0 | 1 | 2009 | Laser-based geometric modeling using cooperative multiple mobile robots · ICRA 2009 |
Methods — techniques the papers use, named apart from their topics
cooperative positioning system · 0.2ICP · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2009 | Laser-based geometric modeling using cooperative multiple mobile robotsabstractIn order to construct three-dimensional shape models of large-scale architectural structures using a laser range finder, a number of range images are taken from various viewpoints. These images are aligned using post-processing procedures such as the ICP algorithm. However, in general, before applying the ICP algorithm, these range images must be aligned roughly by a human operator in order to converge to precise positions. The present paper proposes a new modeling system using a group of multiple robots and an on-board laser range finder. Each measurement position is identified by a highly precise positioning technique called Cooperative Positioning System (CPS), which utilizes the characteristics of the multiple-robot system. Thus, the proposed system can construct 3D shapes of large-scale architectural structures without any post-processing procedure or manual registration. ICP is applied optionally for a subsequent refinement of the model. Measurement experiments in unknown and large indoor/outdoor environments are carried out successfully using the newly developed measurement system consisting of three mobile robots named CPS-V. Generating a model of Dazaifu Tenmangu, a famous cultural heritage, for its digital archive completes the paper. Ryo Kurazume, Yusuke Noda, Yukihiro Tobata, Kai Lingemann, Yumi Iwashita, Tsutomu Hasegawa |
ICRA | 3 |