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Tomasz Łuczyński
Tomasz Łuczyński
Postdoctoral Research Associate, Institute of Sensors, Signals and Systems, Heriot-Watt University
Verified email at hw.ac.uk
Title
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Cited by
Year
The pinax-model for accurate and efficient refraction correction of underwater cameras in flat-pane housings
T Łuczyński, M Pfingsthorn, A Birk
Ocean Engineering 133, 9-22, 2017
552017
Dexterous underwater manipulation from onshore locations: Streamlining efficiencies for remotely operated underwater vehicles
A Birk, T Doernbach, C Mueller, T Łuczynski, AG Chavez, D Koehntopp, ...
IEEE Robotics & Automation Magazine 25 (4), 24-33, 2018
432018
Model based design of a stereo vision system for intelligent deep-sea operations
T Łuczyński, P Łuczyński, L Pehle, M Wirsum, A Birk
Measurement 144, 298-310, 2019
142019
Underwater image haze removal with an underwater-ready dark channel prior
T Łuczyński, A Birk
OCEANS 2017-Anchorage, 1-6, 2017
142017
Underwater image haze removal and color correction with an underwater-ready dark channel prior
T Łuczyński, A Birk
arXiv preprint arXiv:1807.04169, 2018
102018
3d grid map transmission for underwater mapping and visualization under bandwidth constraints
T Łuczyński, T Fromm, S Govindaraj, CA Mueller, A Birk
OCEANS 2017-Anchorage, 1-6, 2017
82017
Full 3D navigation correction using low frequency visual tracking with a stereo camera
M Pfingsthorn, R Rathnam, T Luczynski, A Birk
OCEANS 2016-Shanghai, 1-6, 2016
72016
Robotic bridge statics assessment within strategic flood evacuation planning using low-cost sensors
M Benndorf, T Haenselmann, M Garsch, N Gebbeken, CA Mueller, ...
2017 IEEE International Symposium on Safety, Security and Rescue Roboticsá…, 2017
42017
Image rectification with the pinax camera model in underwater stereo systems with verged cameras
T Łuczyński, M Pfingsthorn, A Birk
OCEANS 2017-Anchorage, 1-7, 2017
42017
Underwater place recognition in noisy stereo data using fab-map with a multimodal vocabulary from 2d texture and 3d surface descriptors
I Enchev, M Pfingsthorn, T Luczynski, I Sokolovski, A Birk, D Tietjen
OCEANS 2015-Genova, 1-8, 2015
42015
Robust Underwater Visual SLAM Fusing Acoustic Sensing
E Vargas, R Scona, JS Willners, T Luczynski, Y Cao, S Wang, YR Petillot
2021 IEEE International Conference on Robotics and Automation (ICRA), 2140-2146, 2021
32021
Virtual environment modeling for training of unmanned vehicles’ operators
P Musialki, J Będkowski, I Ostrowski, T Łuczyński, K Majek, A Masłowski, ...
Zeszyty Naukowe/Wyższa Szkoła Oficerska Sił Powietrznych, 2015
22015
Underwater inspection and intervention dataset
T Luczynski, JS Willners, E Vargas, J Roe, S Xu, Y Cao, Y Petillot, S Wang
arXiv preprint arXiv:2107.13628, 2021
12021
Robust Underwater SLAM using Autonomous Relocalisation
JS Willners, Y Carreno, S Xu, T Łuczyński, S Katagiri, J Roe, ╚ Pairet, ...
IFAC-PapersOnLine 54 (16), 273-280, 2021
12021
Training tool for TIRAMISU Project
I Ostrowski, T Łuczyński, P Musialik, K Majek, M Pełka, J Będkowski, ...
Annual Report fp7-tiramisu. eu, 0
1
From market-ready ROVs to low-cost AUVs
JS Willners, I Carlucho, S Katagiri, C Lemoine, J Roe, D Stephens, ...
OCEANS 2021: San Diego–Porto, 1-7, 2021
2021
From market-ready ROVs to low-cost AUVs
J Scharff Willners, I Carlucho, T Łuczyński, S Katagiri, C Lemoine, J Roe, ...
arXiv e-prints, arXiv: 2108.05792, 2021
2021
An Intelligent and Robust System for Underwater Vision
T Łuczyński
Jacobs University Bremen, 2018
2018
Modelowanie mobilnych urządzeń rozminowujących w celach treningowych z wykorzystaniem środowiska VORTEX.
T Łuczyński, I Ostrowski, J Będkowski, A Masłowski, M Przybyłko, M Zoppi, ...
Inżynieria Wojskowa. Problemy i Perspektywy, 233-240, 2014
2014
Underwater Visual Acoustic SLAM with Extrinsic Calibration
S Xu, T Luczynski, JS Willners, Z Hong, K Zhang, YR Petillot, S Wang
2021 IEEE/RSJ International Conference on Intelligent Robots and Systemsá…, 0
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