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Glenn Bitar
Glenn Bitar
Researcher - Autonomous vehicles
Verified email at ntnu.no
Title
Cited by
Cited by
Year
Hybrid collision avoidance for ASVs compliant with COLREGs rules 8 and 13–17
BOH Eriksen, G Bitar, M Breivik, AM Lekkas
Frontiers in Robotics and AI 7, 11, 2020
602020
Optimization-based automatic docking and berthing of ASVs using exteroceptive sensors: Theory and experiments
AB Martinsen, G Bitar, AM Lekkas, S Gros
IEEE Access 8, 204974-204986, 2020
462020
Energy-optimized path planning for autonomous ferries
G Bitar, M Breivik, AM Lekkas
IFAC-PapersOnLine 51 (29), 389-394, 2018
342018
Trajectory planning and control for automatic docking of ASVs with full-scale experiments
G Bitar, AB Martinsen, AM Lekkas, M Breivik
IFAC-PapersOnLine 53 (2), 14488-14494, 2020
332020
Two-stage optimized trajectory planning for ASVs under polygonal obstacle constraints: Theory and experiments
G Bitar, AB Martinsen, AM Lekkas, M Breivik
IEEE Access 8, 199953-199969, 2020
272020
Energy-optimized hybrid collision avoidance for ASVs
G Bitar, BOH Eriksen, AM Lekkas, M Breivik
2019 18th European Control Conference (ECC), 2522-2529, 2019
212019
Warm-started optimized trajectory planning for ASVs
G Bitar, VN Vestad, AM Lekkas, M Breivik
IFAC-PapersOnLine 52 (21), 308-314, 2019
212019
Towards the Development of Autonomous Ferries
GI Bitar
Norwegian University of Science and Technology, 2017
202017
Three-phase automatic crossing for a passenger ferry with field trials
G Bitar, BOH Eriksen, AM Lekkas, M Breivik
2021 European control conference (ECC), 2271-2277, 2021
132021
A 3DOF path-following controller for a non-directionally stable vessel with slow thruster dynamics
EH Thyri, G Bitar, M Breivik
IFAC-PapersOnLine 54 (16), 288-294, 2021
52021
Optimization-based trajectory planning and automatic docking for autonomous ferries
G Bitar
NTNU, 2021
12021
A Hybrid-State Path Planner for ASV Formations with Full-Scale Experiments
ELM Ruud, MS Rundhovde, J Sandrib, G Bitar
2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023
2023
Motion Planning for Autonomous Underwater Vehicles in Near-Seafloor Operations Using State Lattices
HY Rørstad, TR Krogstad, G Bitar
OCEANS 2023-MTS/IEEE US Gulf Coast, 1-9, 2023
2023
Automatic Underway AUV Recovery Using a USV
G Bitar, M Rundhovde, ELM Ruud, J Sandrib, J Selvåg, R Smestad
2022
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Articles 1–14