Demo Data from EDBT 2026 / reviewers in the wild / expert
Gero Bonow
dblp:09/7736
· DBLP profile ↗
2ranked-venue papers
1as first author
0since 2021 · last 2013
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2 · 1 first-authorSystems, architecture and hardware · 2 · 1 first-author
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 networks
1 paper |
Wireless sensing and localization · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Robot navigation and mapping › source localization
odor source localization |
0.1 | 1 | 2009 | Mobile robots with active IR-optical sensing for remote gas detection and source localization · ICRA 2009 |
Wireless sensing and localization
remote sensing |
0.1 | 1 | 2009 | Mobile robots with active IR-optical sensing for remote gas detection and source localization · ICRA 2009 |
Robotics › Robot navigation and mapping
mobile robot navigation |
0.0 | 1 | 2009 | Mobile robots with active IR-optical sensing for remote gas detection and source localization · ICRA 2009 |
Methods — techniques the papers use, named apart from their topics
spectral absorption · 0.2simulation-based strategy development · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2013 | Gas leak localization in industrial environments using a TDLAS-based remote gas sensor and autonomous mobile robot with the Tri-Max methodabstractIn order to automate routine inspections in large industrial environments, a mobile robotic system is being developed in the RoboGasInspector project. The robot's sensor-head consists of different instruments for remote gas sensing using multiple measurement principles. This contribution focuses on Tunable Diode Laser Absorption Spectroscopy (TDLAS). The measurement device allows quantitative gas concentration measurements and achieves high sensitivity due to the active measurement principle. On the contrary, TDLAS systems measure the concentration along a path at a time and require a diffusely reflecting background. Using a pan-tilt unit, objects and areas can be scanned. This paper describes the triangulation-maximization leak-localizing strategy (Tri-Max) used in the project RoboGasInspector. Results based on outdoor experiments in two industrial plants and a landfill dump are presented. Gero Bonow, Andreas Kroll |
ICRA | 1 |
| 2009 | Mobile robots with active IR-optical sensing for remote gas detection and source localizationabstractWhile other robots use in-situ measurements for gas leak detection and localization, we propose to apply remote sensing. It is easier and safer to conduct, permits rapid scans and is applicable to leak sources high up. An IR-optical sensor is used, exploiting spectral absorption effects of gases. Tailored leak detection and localization strategies are proposed. A simulation environment with a 3D model of the gas concentration field is used for developing and testing the detection and localization strategies. The system performance is demonstrated in a case study with a chemical plant. Werner Baetz, Andreas Kroll, Gero Bonow |
ICRA | 3 |