Leo STANISLAS
Title
Cited by
Cited by
Year
Characterisation of the delphi electronically scanning radar for robotics applications
L Stanislas, T Peynot
282015
Bruce: An ASV solution for the 2016 maritime RobotX challenge
L Stanislas, P Smith, B Tidd, P Kujala, S Nicholson, A Dawson, R Lamont, ...
Proc. RobotX Forum, 2016
42016
Multimodal sensor fusion for robust obstacle detection and classification in the Maritime RobotX challenge
L Stanislas, M Dunbabin
IEEE Journal of Oceanic Engineering 44 (2), 343-351, 2018
32018
Airborne particle classification in LiDAR point clouds using deep learning
L Stanislas, J Nubert, D Dugas, J Nitsch, N Sünderhauf, R Siegwart, ...
12019
Lidar-based detection of airborne particles for robust robot perception
L Stanislas, N Sünderhauf, T Peynot
12018
Detecting airborne particles in sensor data with deep learning for robust robot perception in adverse environments
L Stanislas
Queensland University of Technology, 2020
2020
Bruce: A system-of-systems solution to the 2018 Maritime RobotX Challenge
L Stanislas, K Moyle, E Corser, T Ha, R Dyson, R Lamont, M Dunbabin
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Articles 1–7