A Unified Vessel Dynamics and Environmental Modeling Framework for Realistic Vessel Trajectory Prediction (accepted) Proceedings of the 23rd IFAC World Congress (IFAC 2026), Busan, South Korea, August, 2026.
BibTeX
@inproceedings{IFAC26_Tiwari,
title = {{A Unified Vessel Dynamics and Environmental Modeling Framework for Realistic Vessel Trajectory Prediction (accepted)}},
author = {Taruna Sukhama Tiwari and Benjamin Noack},
booktitle = {Proceedings of the 23rd IFAC World Congress (IFAC 2026)},
address = {Busan, South Korea},
month = aug,
year = {2026}
}
Christopher Funk, Taruna Sukhama Tiwari, Benjamin Noack
An Improved Bound on the Accuracy of Scan-Based Emitter Passive Positioning (accepted) Proceedings of the 29th International Conference on Information Fusion (FUSION 2026), Trondheim, Norway, June, 2026.
BibTeX
@inproceedings{Fusion26_Funk,
title = {{An Improved Bound on the Accuracy of Scan-Based Emitter Passive Positioning (accepted)}},
author = {Christopher Funk and Taruna Sukhama Tiwari and Benjamin Noack},
booktitle = {Proceedings of the 29th International Conference on Information Fusion (FUSION 2026)},
address = {Trondheim, Norway},
month = jun,
year = {2026}
}
Christian Steger, Jan Mentjes, Steffen Kleinert, Hilko Wiards, Matthias Steidel, Taruna Sukhama Tiwari, Shuo Li, Benjamin Noack, Florian Schiegg, Vesa Klumpp
Beyond Onboard Sensors: Leveraging Shore-Based Sensor Systems for Safe Maritime Automation in Complex Environments (accepted) Proceedings of the European Navigation Conference 2026 (ENC 2026), Vienna, Austria, April, 2026.
BibTeX
@inproceedings{ENC26_Steger,
title = {{Beyond Onboard Sensors: Leveraging Shore-Based Sensor Systems for Safe Maritime Automation in Complex Environments (accepted)}},
author = {Christian Steger and Jan Mentjes and Steffen Kleinert and Hilko Wiards and Matthias Steidel and Taruna Sukhama Tiwari and Shuo Li and Benjamin Noack and Florian Schiegg and Vesa Klumpp},
booktitle = {Proceedings of the European Navigation Conference 2026 (ENC 2026)},
address = {Vienna, Austria},
month = apr,
year = {2026}
}
Taruna Sukhama Tiwari, Christopher Funk, Shuo Li, Benjamin Noack
Sensor Placement in a Passive Sensor Network for Scan-Based Ship Localization Proceedings of the 17th Symposium Sensor Data Fusion: Trends, Solutions and Applications, Bonn, Germany, November, 2025.
Maritime safety remains vulnerable to GNSS spoofing, limited detection ranges, and environmental uncertainties, even with the use of positioning systems such as AIS and shore-based radar. To address these challenges, previous work introduced SeaSentry, a passive shore-based sensor network designed to detect and monitor vessels. The placement of sensors within the network significantly impacts the accuracy of vessel localization and tracking, as both the number and spatial configuration of sensors determine positioning performance. This study proposes a grid-based search for optimizing sensor placement in scan-based vessel localization. A network of fixed sensors is analyzed to identify the optimal positions for additional sensors, using the Cramér-Rao Lower Bound (CRLB) to quantify the minimum achievable localization error. Experiments conducted in the Neuburgweier region of Germany demonstrate the potential of the proposed grid-based search approach to establish a robust optimization technique for practical deployment. The findings also underscore the importance of strategic sensor placement and validate the approach through empirical results.
@inproceedings{SDF25_Tiwari,
title = {{Sensor Placement in a Passive Sensor Network for Scan-Based Ship Localization}},
author = {Taruna Sukhama Tiwari and Christopher Funk and Shuo Li and Benjamin Noack},
booktitle = {Proceedings of the 17th Symposium Sensor Data Fusion: Trends, Solutions and Applications},
address = {Bonn, Germany},
doi = {10.1109/SDF67080.2025.11330546},
month = nov,
year = {2025}
}
Taruna Sukhama Tiwari, Shuo Li, Christopher Funk, Benjamin Noack, Christian Steger, Hilko Wiards, Matthias Steidel, Florian Schiegg, Nhat Ming Hoang, Mohit Mittal, Vesa Klumpp, Jörn Beschnidt
SeaSentry: Maritime Real-Time Positioning
in a Passive Radar-Detector Network Proceedings of the 28th International Conference on Information Fusion (FUSION 2025), Rio de Janeiro, Brazil, July, 2025.
Maritime transport and vessel monitoring rely on
multiple systems for positioning, such as the Automatic Identifi-
cation System, electro-optical systems, and shore-based radar sys-
tems, to improve safety and efficiency in vessel tracking. However,
each system has inherent limitations, including coverage gaps,
reliance on vessel compliance, and limited real-time monitoring
capabilities. As a complementary approach to existing methods
and systems, this paper presents the SeaSentry system, a passive
sensor network designed to detect, position, and track vessels in
real time, thus eliminating the need for onboard installations.
The sensors detect radar pulses emitted by the vessels’ rotating
radar antennas and compute time stamps as the radar beams
pass over them. Geometric constraints can be derived from time
differences of arrival to localize the vessels, with time error and
synchronization demands in the millisecond range. Along with
some initial results, this paper discusses the SeaSentry setup and
data processing pipeline.
@inproceedings{Fusion25_Tiwari,
title = {{SeaSentry: Maritime Real-Time Positioning
in a Passive Radar-Detector Network}},
author = {Taruna Sukhama Tiwari and Shuo Li and Christopher Funk and Benjamin Noack and Christian Steger and Hilko Wiards and Matthias Steidel and Florian Schiegg and Nhat Ming Hoang and Mohit Mittal and Vesa Klumpp and J{\"o}rn Beschnidt},
booktitle = {Proceedings of the 28th International Conference on Information Fusion (FUSION 2025)},
address = {Rio de Janeiro, Brazil},
doi = {10.23919/FUSION65864.2025.11124109},
month = jul,
year = {2025}
}
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