Follow
Trym Tengesdal
Trym Tengesdal
Postdoctoral Researcher, NTNU
Verified email at ntnu.no
Title
Cited by
Cited by
Year
On collision risk assessment for autonomous ships using scenario-based MPC
T Trym, EF Brekke, TA Johansen
IFAC-PapersOnLine 53 (2), 14509-14516, 2020
262020
Ship collision avoidance utilizing the cross-entropy method for collision risk assessment
T Tengesdal, TA Johansen, EF Brekke
IEEE transactions on intelligent transportation systems 23 (8), 11148-11161, 2021
252021
Risk-based autonomous maritime collision avoidance considering obstacle intentions
T Tengesdal, TA Johansen, E Brekke
2020 IEEE 23rd International Conference on Information Fusion (FUSION), 1-8, 2020
222020
Intention modeling and inference for autonomous collision avoidance at sea
SV Rothmund, T Tengesdal, EF Brekke, TA Johansen
Ocean Engineering 266, 113080, 2022
162022
Ship collision avoidance and anti grounding using parallelized cost evaluation in probabilistic scenario-based model predictive control
T Tengesdal, TA Johansen, TD Grande, S Blindheim
IEEE Access 10, 111650-111664, 2022
142022
Obstacle Intention Awareness in Automatic Ship Collision Avoidance: Full-Scale Experiments in Confined Waters
T Tengesdal, SV Rothmund, E Basso, H Schmidt-Didlaukies, ...
Field Robotics 4 (1), 211-245, 2024
42024
Joint stochastic prediction of vessel kinematics and destination based on a maritime traffic graph
T Tengesdal, LM Millefiori, P Braca, E Brekke
2022 International Conference on Electrical, Computer, Communications and …, 2022
42022
Simulation Framework and Software Environment for Evaluating Automatic Ship Collision Avoidance Algorithms*
T Tengesdal, TA Johansen
2023 IEEE Conference on Control Technology and Applications (CCTA), 186-193, 2023
32023
Nonlinear Model Predictive Control for Enhanced Navigation of Autonomous Surface Vessels
D Menges, T Tengesdal, A Rasheed
arXiv preprint arXiv:2403.19028, 2024
2024
A Comparative Study of Rapidly-exploring Random Tree Algorithms Applied to Ship Trajectory Planning and Behavior Generation
T Tengesdal, TA Pedersen, TA Johansen
arXiv preprint arXiv:2403.01194, 2024
2024
Real-time Feasible Usage of Radial Basis Functions for Representing Unstructured Environments in Optimal Ship Control
T Tengesdal, S Gros, TA Johansen
American Control Conference (ACC), 2024
2024
Modular Collision Avoidance Using Predictive Safety Filters
A Vaaler, H Robinson, T Tengesdal, A Rasheed
International Conference on Offshore Mechanics and Arctic Engineering 86830 …, 2023
2023
Project and Master Thesis Proposals Within Maritime Autonomous Ship Technology
T Tengesdal, B Rokseth, TA Johansen
2023
Risk-based Traffic Rules Compliant Collision Avoidance for Autonomous Ships
T Tengesdal
NTNU, 2022
2022
Uncertainty Management in a Scenario-Based MPC for Collision Avoidance
T Tengesdal
NTNU, 2019
2019
The system can't perform the operation now. Try again later.
Articles 1–15