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2020 – today
- 2025
[j2]Nael Jaber
, Bilal Wehbe, Leif Christensen, Frank Kirchner:
MV3D: Multi-View 3D Reconstruction of Objects Using Forward-Looking Sonar. IEEE Robotics Autom. Lett. 10(9): 8762-8769 (2025)- [i13]Matias Valdenegro-Toro, Deepan Chakravarthi Padmanabhan, Deepak Singh, Bilal Wehbe, Yvan Petillot:
The Marine Debris Forward-Looking Sonar Datasets. CoRR abs/2503.22880 (2025) - [i12]Michal Tesnar, Bilal Wehbe, Matias Valdenegro-Toro:
Modeling of AUV Dynamics with Limited Resources: Efficient Online Learning Using Uncertainty. CoRR abs/2504.04583 (2025) - [i11]Abdelhakim Amer, Mohit Mehindratta, Yury Brodskiy, Bilal Wehbe, Erdal Kayacan:
REACT: Real-time Entanglement-Aware Coverage Path Planning for Tethered Underwater Vehicles. CoRR abs/2507.10204 (2025) - 2024
- [c9]Jeremy Paul Coffelt, Peter Kampmann, Bilal Wehbe:
SAVOR: Sonar-Aided Visual Odometry and Reconstruction for Autonomous Underwater Vehicles*. IROS 2024: 1236-1243 - [d1]Laura Weihl, Bilal Wehbe, Andrzej Wasowski:
NeRF-To-Real Tester: Neural Radiance Fields as Test Image Generators for Vision of Autonomous Systems. Zenodo, 2024
- [i10]Lukas Rust, Shubham Vyas, Bilal Wehbe:
AUV trajectory optimization with hydrodynamic forces for Icy Moon Exploration. CoRR abs/2406.09929 (2024) - [i9]Laura Weihl, Bilal Wehbe, Andrzej Wasowski:
NeRF-To-Real Tester: Neural Radiance Fields as Test Image Generators for Vision of Autonomous Systems. CoRR abs/2412.16141 (2024) - 2023
- [c8]Nael Jaber, Bilal Wehbe, Frank Kirchner:
Sonar2Depth: Acoustic-Based 3D Reconstruction Using cGANs. IROS 2023: 5828-5835 - 2022
- [c7]Alan Preciado-Grijalva, Bilal Wehbe, Miguel Bande Firvida, Matias Valdenegro-Toro:
Self-supervised Learning for Sonar Image Classification. CVPR Workshops 2022: 1498-1507 - [c6]Sascha Arnold, Bilal Wehbe:
Spatial Acoustic Projection for 3D Imaging Sonar Reconstruction. ICRA 2022: 3054-3060 - [i8]Alan Preciado-Grijalva, Bilal Wehbe, Miguel Bande Firvida, Matias Valdenegro-Toro:
Self-supervised Learning for Sonar Image Classification. CoRR abs/2204.09323 (2022) - [i7]Sascha Arnold, Bilal Wehbe:
Spatial Acoustic Projection for 3D Imaging Sonar Reconstruction. CoRR abs/2206.02840 (2022) - 2021
- [i6]Matias Valdenegro-Toro, Alan Preciado-Grijalva, Bilal Wehbe:
Pre-trained Models for Sonar Images. CoRR abs/2108.01111 (2021) - [i5]Mihir Patil, Bilal Wehbe, Matias Valdenegro-Toro:
Deep Reinforcement Learning for Continuous Docking Control of Autonomous Underwater Vehicles: A Benchmarking Study. CoRR abs/2108.02665 (2021) - 2020
- [i4]Mario Michael Krell, Bilal Wehbe:
A First Step Towards Distribution Invariant Regression Metrics. CoRR abs/2009.05176 (2020)
2010 – 2019
- 2019
- [c5]Bilal Wehbe, Marc Hildebrandt, Frank Kirchner:
A Framework for On-line Learning of Underwater Vehicles Dynamic Models. ICRA 2019: 7969-7975 - [i3]Bilal Wehbe, Marc Hildebrandt, Frank Kirchner:
A Framework for On-line Learning of Underwater Vehicles Dynamic Models. CoRR abs/1903.05355 (2019) - [i2]Matias Valdenegro-Toro, Mariela De Lucas Alvarez, Mariia Dmitrieva, Bilal Wehbe, Georgios Salavasidis, Shahab Heshmati-Alamdari, Juan F. Fuentes-Pérez, Veronika Yordanova, Klemen Istenic, Thomas Guerneve:
Results from the Robocademy ITN: Autonomy, Disturbance Rejection and Perception for Advanced Marine Robotics. CoRR abs/1910.13144 (2019) - 2018
- [i1]Bilal Wehbe, Octavio Arriaga, Mario Michael Krell, Frank Kirchner:
Learning of Multi-Context Models for Autonomous Underwater Vehicles. CoRR abs/1809.06179 (2018) - 2017
- [j1]Bilal Wehbe, Salah Bazzi, Elie A. Shammas:
Novel three-dimensional optimal path planning method for vehicles with constrained pitch and yaw. Robotica 35(11): 2157-2176 (2017) - [c4]Bilal Wehbe, Marc Hildebrandt, Frank Kirchner:
Experimental evaluation of various machine learning regression methods for model identification of autonomous underwater vehicles. ICRA 2017: 4885-4890 - [c3]Bilal Wehbe, Alexander Fabisch, Mario Michael Krell:
Online model identification for underwater vehicles through incremental support vector regression. IROS 2017: 4173-4180 - 2015
- [c2]Bilal Wehbe, Elie A. Shammas, Daniel C. Asmar:
A novel method to generate three-dimensional paths for vehicles with bounded pitch and yaw. AIM 2015: 1701-1706 - 2014
- [c1]Bilal Wehbe, Elie A. Shammas, Joseph Zeaiter, Daniel C. Asmar:
Dynamic modeling and path planning of a hybrid autonomous underwater vehicle. ROBIO 2014: 729-734
Coauthor Index
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