Bilal Wehbe

According to our database, Bilal Wehbe authored at least 21 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

MV3D: Multi-View 3D Reconstruction of Objects Using Forward-Looking Sonar.

Nael Jaber, Bilal Wehbe, Leif Christensen, Frank Kirchner

IEEE Robotics Autom. Lett., September, 2025

REACT: Real-time Entanglement-Aware Coverage Path Planning for Tethered Underwater Vehicles.

Abdelhakim Amer, Mohit Mehindratta, Yury Brodskiy, Bilal Wehbe, Erdal Kayacan

CoRR, July, 2025

Modeling of AUV Dynamics with Limited Resources: Efficient Online Learning Using Uncertainty.

Michal Tesnar, Bilal Wehbe, Matias Valdenegro-Toro

CoRR, April, 2025

The Marine Debris Forward-Looking Sonar Datasets.

Matias Valdenegro-Toro, Deepan Chakravarthi Padmanabhan, Deepak Singh, Bilal Wehbe, Yvan Petillot

CoRR, March, 2025

2024

NeRF-To-Real Tester: Neural Radiance Fields as Test Image Generators for Vision of Autonomous Systems.

Laura Weihl, Bilal Wehbe, Andrzej Wasowski

CoRR, 2024

AUV trajectory optimization with hydrodynamic forces for Icy Moon Exploration.

Lukas Rust, Shubham Vyas, Bilal Wehbe

CoRR, 2024

SAVOR: Sonar-Aided Visual Odometry and Reconstruction for Autonomous Underwater Vehicles^*.

Jeremy Paul Coffelt, Peter Kampmann, Bilal Wehbe

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

2023

Sonar2Depth: Acoustic-Based 3D Reconstruction Using cGANs.

Nael Jaber, Bilal Wehbe, Frank Kirchner

IROS, 2023

2022

Spatial Acoustic Projection for 3D Imaging Sonar Reconstruction.

Sascha Arnold, Bilal Wehbe

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Self-supervised Learning for Sonar Image Classification.

Alan Preciado-Grijalva, Bilal Wehbe, Miguel Bande Firvida, Matias Valdenegro-Toro

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Deep Reinforcement Learning for Continuous Docking Control of Autonomous Underwater Vehicles: A Benchmarking Study.

Mihir Patil, Bilal Wehbe, Matias Valdenegro-Toro

CoRR, 2021

Pre-trained Models for Sonar Images.

Matias Valdenegro-Toro, Alan Preciado-Grijalva, Bilal Wehbe

CoRR, 2021

2020

A First Step Towards Distribution Invariant Regression Metrics.

Mario Michael Krell, Bilal Wehbe

CoRR, 2020

2019

Results from the Robocademy ITN: Autonomy, Disturbance Rejection and Perception for Advanced Marine Robotics.

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

CoRR, 2019

A Framework for On-line Learning of Underwater Vehicles Dynamic Models.

Bilal Wehbe, Marc Hildebrandt, Frank Kirchner

Proceedings of the International Conference on Robotics and Automation, 2019

2018

Learning of Multi-Context Models for Autonomous Underwater Vehicles.

Bilal Wehbe, Octavio Arriaga, Mario Michael Krell, Frank Kirchner

CoRR, 2018

2017

Novel three-dimensional optimal path planning method for vehicles with constrained pitch and yaw.

Bilal Wehbe, Salah Bazzi, Elie A. Shammas

Robotica, 2017

Online model identification for underwater vehicles through incremental support vector regression.

Bilal Wehbe, Alexander Fabisch, Mario Michael Krell

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Experimental evaluation of various machine learning regression methods for model identification of autonomous underwater vehicles.

Bilal Wehbe, Marc Hildebrandt, Frank Kirchner

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2015

A novel method to generate three-dimensional paths for vehicles with bounded pitch and yaw.

Bilal Wehbe, Elie A. Shammas, Daniel C. Asmar

Proceedings of the IEEE International Conference on Advanced Intelligent Mechatronics, 2015

2014

Dynamic modeling and path planning of a hybrid autonomous underwater vehicle.

Bilal Wehbe, Elie A. Shammas, Joseph Zeaiter, Daniel C. Asmar

Proceedings of the 2014 IEEE International Conference on Robotics and Biomimetics, 2014