Articles | Volume 13, issue 2
https://doi.org/10.5194/jsss-13-211-2024
© Author(s) 2024. This work is distributed under the Creative Commons Attribution 4.0 License.
Special issue:
Regular research article
| 
29 Jul 2024
Regular research article |
| 29 Jul 2024
| 29 Jul 2024
An airborne measurement system to detect, locate, and quantify methane emissions with attitude-based wind speed estimation
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Cited articles
Baetz, W., Kroll, A., and Bonow, G.: Mobile Robots with Active IR-Optical Sensing for Remote Gas Detection and Source Localization, in: IEEE International Conference on Robotics and Automation (ICRA 2009), 12–17 May 2009, Kobe, Japan, edited by: Kazuhiro Kosuge, K. I., IEEE, 2773–2778, https://doi.org/10.1109/ROBOT.2009.5152338, ISBN 978-1-4244-2789-5, 2009. a
Barz, T., Bonow, G., Hegenberg, J., Habib, K., Cramar, L., Welle, J., Schulz, D., Kroll, A., and Schmidt, L.: Unmanned Inspection of Large Industrial Environments – Insights into Research Project RoboGasInspector, in: Future Security, edited by: Aschenbruck, N., Martini, P., Meier, M., and Tölle, J., vol. 318 of Communications in Computer and Information Science, Springer Berlin Heidelberg, Bonn, 216–219, https://doi.org/10.1007/978-3-642-33161-9_32, 2012. a
Bastviken, D., Wilk, J., Duc, N. T., Gålfalk, M., Karlson, M., Neset, T.-S., Opach, T., Enrich-Prast, A., and Sundgren, I.: Critical method needs in measuring greenhouse gas fluxes, Environ. Res. Lett., 17, 104009, https://doi.org/10.1088/1748-9326/ac8fa9, 2022. a
Bennetts, V. H., Schaffernicht, E., Stoyanov, T., Lilienthal, A. J., and Trincavelli, M.: Robot assisted gas tomography – Localizing methane leaks in outdoor environments, in: 2014 IEEE International Conference on Robotics and Automation (ICRA), 31 May–7 June 2014, Hong Kong, China, IEEE, 6362–6367, https://doi.org/10.1109/icra.2014.6907798, 2014. a
Bonow, G. and Kroll, A.: Gas leak localization in industrial environments using a TDLAS-based remote gas sensor and autonomous mobile robot with the Tri-Max method, in: IEEE International Conference on Robotics and Automation (ICRA), 6–10 May 2013, Karlsruhe, Germany, IEEE, 987–992, https://doi.org/10.1109/ICRA.2013.6630693, 2013. a
