Daniel Axehill
Professor
Publikationer
Abhishek Dhar, Carl Hynén, Johan Löfberg, Daniel Axehill, Disturbance-Parametrized Robust Lattice-based Motion Planning, IEEE Transactions on Intelligent Vehicles 9:3034-3046 (2024) https://doi.org/10.1109/tiv.2023.3296691
Anja Hellander, Kristoffer Bergman, Daniel Axehill, Improved Task and Motion Planning for Rearrangement Problems using Optimal Control*, 2024 IEEE Intelligent Vehicles Symposium (IV), pp. 2033-2040, IEEE (2024) https://doi.org/10.1109/iv55156.2024.10588789
Magnus Malmström, Anton Kullberg, Isaac Skog, Daniel Axehill, Fredrik Gustafsson, Extended Target Tracking Utilizing Machine-Learning Software–With Applications to Animal Classification, IEEE Signal Processing Letters 31:376-380 (2024) https://doi.org/10.1109/LSP.2024.3353165
Magnus Malmström, Isaac Skog, Daniel Axehill, Fredrik Gustafsson, Uncertainty quantification in neural network classifiers—A local linear approach, Automatica 163:111563 (2024) https://doi.org/10.1016/j.automatica.2024.111563
Daniel Arnström, Daniel Axehill, BnB-DAQP: A Mixed-Integer QP Solver for Embedded Applications, IFAC PAPERSONLINE, pp. 7420-7427, ELSEVIER (2023) https://doi.org/10.1016/j.ifacol.2023.10.622