Thombre, S., Zhao, Z., Ramm-Schmidt, H., Garcia, J., Malkamaki, T., Nikolskiy, S., Hammarberg, T.,
Nuortie, H., Bhuiyan, M.Z.H., Sarkka, S., Lehtola, V., 2022. Sensors and Al Techniques for Situ-
ational Awareness in Autonomous Ships: A Review. IEEE Transactions on Intelligent Transpor-
tation Systems 23, 64-83. https://doi.org/10.1109/TITS.2020.3023957
Wang, T., Zhang, H., Jiang, D., 2024. CSD-YOLO: A Ship Detection Algorithm Based on a Deformable
Large Kernel Attention Mechanism. Mathematics 12. https://doi.org/10.3390/math12111728
About the Authors
Helmut Schmid received a diploma in
applied physics from the University of
Lübeck in 1994. He was awarded a PhD
.n Engineering from the Martin-Luther
Jniversity of Halle-Wittenberg in
1003. He has been with the Federal Mar-
‚time and Hydrography Agency since
2017, and his research interests include
naritime navigational sensors and ap-
olications related to commercial ship-
ping.
Martin Portier was awarded a Master’s
degree in applied information technol-
ogy from the Technical University of
Lübeck in 2020. His research interests
include cross-modal solution for mobil-
ity within the Network of Experts of the
Federal Ministry for Digital and
Transport.
ORCID IDs
Hans Herrmann ®
https://orcid.org/0009-0007-1249-0317
Hans Herrmann was awarded a Mas-
ter’s degree in 2019 and a PhD in elec-
trical engineering from the University of
Rostock in 2023. He has been with the
Federal Maritime and Hydrography
Agency since 2023, and his research in-
terests include maritime navigation and
communication.
