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Gero Bonow

dblp:09/7736 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Robotics › Robot navigation and mapping › source localization
odor source localization
0.112009
Mobile robots with active IR-optical sensing for remote gas detection and source localization · ICRA 2009
Wireless sensing and localization
remote sensing
0.112009
Mobile robots with active IR-optical sensing for remote gas detection and source localization · ICRA 2009
Robotics › Robot navigation and mapping
mobile robot navigation
0.012009
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
YearPublicationVenuePosition
2013 Gas leak localization in industrial environments using a TDLAS-based remote gas sensor and autonomous mobile robot with the Tri-Max method
abstract
In 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
ICRA1
2009 Mobile robots with active IR-optical sensing for remote gas detection and source localization
abstract
While 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
ICRA3