Dr.-Ing. Bilal Wehbe

Contact +49 421 17845 4168 (Bremen)

Address (Bremen) Robert-Hooke-Straße 1D-28359 Bremen

Publications

3D-DUO: 3D detection of underwater objects in low-resolution multibeam echosounder maps
Nael Jaber; Bilal Wehbe; Frank Kirchner
In: Ocean Engineering (OE), Vol. 331, Page 121254, Elsevier, 4/2025.
Deep Reinforcement Learning for Path-Following Control of an Autonomous Surface Vehicle using Domain Randomization
Tom Vincent Slawik; Bilal Wehbe; Leif Christensen
In: 15th IFAC Conference on Control Applications in Marine Systems, Robotics and Vehicles, 2024. IFAC Conference on Control Applications in Marine Systems, Robotics, and Vehicles (CAMS-2024), September 3-5, Blacksburg, Virginia, USA, n.n. 9/2024.
A Deep-Learning Approach for Visual Detection of an AUV Docking Station
Faraz Ahmad; Tom Creutz; Christian Ernst Siegfried Koch; Bilal Wehbe
In: Proceedings of Oceans 2024. OCEANS MTS/IEEE Conference (OCEANS-2024), Halifax, September 23-26, Halifax, Canada, IEEE, 2024.

AI-REEFSHIELD
Al-driven Robotic Ecosystem Exploration Framework for Securing Habitat Integrity and Life Diversity
The AI-REEFSHIELD project aims to develop an AI-supported learning and robotics system for monitoring marine restoration areas, in particular for the reintroduction of the European oyster in the North…
DeeperSense
Deep-Learning for Multimodal Sensor Fusion
The main objective of DeeperSense is to significantly improve the capabilities for environment perception of service robots to improve their performance and reliability, achieve new functionality, and…
REMARO
Reliable AI for Marine Robotics
Marie Skłodowska-Curie Innovative Training Network for Reliable AI for Marine Robotics
Partners
IT University of Copenhagen, Denmark
Aarhus University, Denmark
University of Bremen, Germany
RWTH…