Daniel Axehill

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 60

Top Venues

CoRR

CDC

FUSION

IEEE Trans. Autom. Control.

Linköping University, Sweden (PHD)

Education History

Linköping University, Sweden

PHD

Publications

Daniel Arnström, Daniel Axehill
A High-Performant Multi-Parametric Quadratic Programming Solver. CoRR (2024)
Magnus Malmström, Anton Kullberg, Isaac Skog, Daniel Axehill, Fredrik Gustafsson
Extended Target Tracking Utilizing Machine-Learning Software-With Applications to Animal Classification. IEEE Signal Process. Lett. 31 (2024)
Magnus Malmström, Isaac Skog, Daniel Axehill, Fredrik Gustafsson
Uncertainty quantification in neural network classifiers - A local linear approach. Autom. 163 (2024)
Abhishek Dhar, Carl Hynén Ulfsjöö, Johan Löfberg, Daniel Axehill
Disturbance-Parametrized Robust Lattice-Based Motion Planning. IEEE Trans. Intell. Veh. 9 (1) (2024)
Anja Hellander, Kristoffer Bergman, Daniel Axehill
. IV (2024)
Daniel Arnström, David Broman, Daniel Axehill
Exact Worst-Case Execution-Time Analysis for Implicit Model Predictive Control. CoRR (2023)
Anja Hellander, Kristoffer Bergman, Daniel Axehill
On Integrated Optimal Task and Motion Planning for a Tractor-Trailer Rearrangement Problem. CDC (2023)
Magnus Malmström, Isaac Skog, Daniel Axehill, Fredrik Gustafsson
On the validity of using the delta method for calculating the uncertainty of the predictions from an overparameterized model. CoRR (2023)
Shamisa Shoja, Daniel Axehill
Exact Complexity Certification of Start Heuristics in Branch-and-Bound Methods for Mixed-Integer Linear Programming. CDC (2023)
Magnus Malmström, Anton Kullberg, Isaac Skog, Daniel Axehill, Fredrik Gustafsson
Extended target tracking utilizing machine-learning software - with applications to animal classification. CoRR (2023)
Magnus Malmström, Isaac Skog, Daniel Axehill, Fredrik Gustafsson
Uncertainty quantification in neural network classifiers - a local linear approach. CoRR (2023)
Carl Hynén Ulfsjöö, Daniel Axehill
On Integrating POMDP and Scenario MPC for Planning under Uncertainty - with Applications to Highway Driving. IV (2022)
Daniel Arnström, Daniel Axehill
Lift, Partition, and Project: Parametric Complexity Certification of Active-Set QP Methods in the Presence of Numerical Errors. CDC (2022)
Magnus Malmström, Isaac Skog, Daniel Axehill, Fredrik Gustafsson
Detection of outliers in classification by using quantified uncertainty in neural networks. FUSION (2022)
Abhishek Dhar, Carl Hynén, Johan Löfberg, Daniel Axehill
Robust Lattice-based Motion Planning. CoRR (2022)
Jonas Nordlöf, Gustaf Hendeby, Daniel Axehill
LiDAR-Landmark Modeling for Belief-Space Planning using Aerial Forest Data. FUSION (2022)
Daniel Arnström, Alberto Bemporad, Daniel Axehill
A Dual Active-Set Solver for Embedded Quadratic Programming Using Recursive LDL$^{T}$ Updates. IEEE Trans. Autom. Control. 67 (8) (2022)
Per Boström-Rost, Daniel Axehill, Gustaf Hendeby
PMBM Filter With Partially Grid-Based Birth Model With Applications in Sensor Management. IEEE Trans. Aerosp. Electron. Syst. 58 (1) (2022)
Daniel Arnström, Alberto Bemporad, Daniel Axehill
A Linear Programming Method Based on Proximal-Point Iterations With Applications to Multi-Parametric Programming. IEEE Control. Syst. Lett. 6 (2022)
Shamisa Shoja, Daniel Arnström, Daniel Axehill
Exact Complexity Certification of a Standard Branch and Bound Method for Mixed-Integer Linear Programming. CDC (2022)
Shamisa Shoja, Daniel Arnström, Daniel Axehill
Overall Complexity Certification of a Standard Branch and Bound Method for Mixed-Integer Quadratic Programming. ACC (2022)
Shamisa Shoja, Daniel Arnström, Daniel Axehill
Overall Complexity Certification of a Standard Branch and Bound Method for Mixed-Integer Quadratic Programming. CoRR (2022)
Anja Hellander, Daniel Axehill
On a Traveling Salesman Problem with Dynamic Obstacles and Integrated Motion Planning. ACC (2022)
Daniel Arnström, Daniel Axehill
A Unifying Complexity Certification Framework for Active-Set Methods for Convex Quadratic Programming. IEEE Trans. Autom. Control. 67 (6) (2022)
Daniel Arnström, Alberto Bemporad, Daniel Axehill
Complexity Certification of Proximal-Point Methods for Numerically Stable Quadratic Programming. IEEE Control. Syst. Lett. 5 (4) (2021)
Daniel Arnström, Daniel Axehill
An Efficient Dual Active-Set Solver for Embedded Model Predictive Control. CoRR (2021)
Magnus Malmström, Isaac Skog, Daniel Axehill, Fredrik Gustafsson
Modeling of the tire-road friction using neural networks including quantification of the prediction uncertainty. FUSION (2021)
Kristoffer Bergman, Oskar Ljungqvist, Daniel Axehill
Improved Path Planning by Tightly Combining Lattice-Based Path Planning and Optimal Control. IEEE Trans. Intell. Veh. 6 (1) (2021)
Jonas Nordlöf, Gustaf Hendeby, Daniel Axehill
Improved Virtual Landmark Approximation for Belief-Space Planning. FUSION (2021)
Daniel Arnström, Daniel Axehill
Semi-Explicit Linear MPC Using a Warm-Started Active-Set QP Algorithm with Exact Complexity Guarantees. CDC (2021)
Daniel Arnström, Alberto Bemporad, Daniel Axehill
Complexity Certification of Proximal-Point Methods for Numerically Stable Quadratic Programming. ACC (2021)
Per Boström-Rost, Daniel Axehill, Gustaf Hendeby
Sensor Management for Search and Track Using the Poisson Multi-Bernoulli Mixture Filter. IEEE Trans. Aerosp. Electron. Syst. 57 (5) (2021)
Kristoffer Bergman, Oskar Ljungqvist, Jonas Linder, Daniel Axehill
An Optimization-Based Motion Planner for Autonomous Maneuvering of Marine Vessels in Complex Environments. CDC (2020)
Daniel Arnström, Alberto Bemporad, Daniel Axehill
Exact Complexity Certification of a Nonnegative Least-Squares Method for Quadratic Programming. IEEE Control. Syst. Lett. 4 (4) (2020)
Oskar Ljungqvist, Daniel Axehill, Henrik Pettersson
On sensing-aware model predictive path-following control for a reversing general 2-trailer with a car-like tractor. ICRA (2020)
Jonas Nordlöf, Gustaf Hendeby, Daniel Axehill
Belief Space Planning using Landmark Density Information. FUSION (2020)
Oskar Ljungqvist, Daniel Axehill, Henrik Pettersson, Johan Löfberg
Estimation-aware model predictive path-following control for a general 2-trailer with a car-like tractor. CoRR (2020)
Oskar Ljungqvist, Daniel Axehill, Henrik Pettersson
On sensing-aware model predictive path-following control for a reversing general 2-trailer with a car-like tractor. CoRR (2020)
Oskar Ljungqvist, Daniel Axehill
A predictive path-following controller for multi-steered articulated vehicles. CoRR (2019)
Oskar Ljungqvist, Niclas Evestedt, Daniel Axehill, Marcello Cirillo, Henrik Pettersson
A path planning and path-following control framework for a general 2-trailer with a car-like tractor. J. Field Robotics 36 (8) (2019)
Oskar Ljungqvist, Niclas Evestedt, Daniel Axehill, Marcello Cirillo, Henrik Pettersson
A path planning and path-following control framework for a general 2-trailer with a car-like tractor. CoRR (2019)
Isak Nielsen, Daniel Axehill
Direct Parallel Computations of Second-Order Search Directions for Model Predictive Control. IEEE Trans. Autom. Control. 64 (7) (2019)
Kristoffer Bergman, Oskar Ljungqvist, Daniel Axehill
Improved Optimization of Motion Primitives for Motion Planning in State Lattices. IV (2019)
Oskar Ljungqvist, Kristoffer Bergman, Daniel Axehill
Optimization-based motion planning for multi-steered articulated vehicles. CoRR (2019)
Per Boström-Rost, Daniel Axehill, Gustaf Hendeby
Informative Path Planning in the Presence of Adversarial Observers. FUSION (2019)
Daniel Arnström, Daniel Axehill
Exact Complexity Certification of a Standard Primal Active-Set Method for Quadratic Programming. CDC (2019)
Per Boström-Rost, Daniel Axehill, Gustaf Hendeby
On Global Optimization for Informative Path Planning. IEEE Control. Syst. Lett. 2 (4) (2018)
Kristoffer Bergman, Daniel Axehill
Combining Homotopy Methods and Numerical Optimal Control to Solve Motion Planning Problems. Intelligent Vehicles Symposium (2018)
Oskar Ljungqvist, Daniel Axehill, Johan Löfberg
On stability for state-lattice trajectory tracking control. ACC (2018)
Olov Andersson, Oskar Ljungqvist, Mattias Tiger, Daniel Axehill, Fredrik Heintz
Receding-Horizon Lattice-Based Motion Planning with Dynamic Obstacle Avoidance. CDC (2018)
Isak Nielsen, Daniel Axehill
Low-Rank Modifications of Riccati Factorizations for Model Predictive Control. IEEE Trans. Autom. Control. 63 (3) (2018)
Oskar Ljungqvist, Niclas Evestedt, Marcello Cirillo, Daniel Axehill, Olov Holmer
Lattice-based motion planning for a general 2-trailer system. Intelligent Vehicles Symposium (2017)
Erik Ward, Niclas Evestedt, Daniel Axehill, John Folkesson
Probabilistic Model for Interaction Aware Planning in Merge Scenarios. IEEE Trans. Intell. Veh. 2 (2) (2017)
Niclas Evestedt, Oskar Ljungqvist, Daniel Axehill
Path tracking and stabilization for a reversing general 2-trailer configuration using a cascaded control approach. Intelligent Vehicles Symposium (2016)
Isak Nielsen, Daniel Axehill
Reduced memory footprint in multiparametric quadratic programming by exploiting low rank structure. CDC (2016)
Oskar Ljungqvist, Daniel Axehill, Anders Helmersson
Path following control for a reversing general 2-trailer system. CDC (2016)
Niclas Evestedt, Oskar Ljungqvist, Daniel Axehill
Motion planning for a reversing general 2-trailer configuration using Closed-Loop RRT. IROS (2016)
Niclas Evestedt, Oskar Ljungqvist, Daniel Axehill
Path tracking and stabilization for a reversing general 2-trailer configuration using a cascaded control approach. CoRR (2016)
Niclas Evestedt, Erik Ward, John Folkesson, Daniel Axehill
Interaction aware trajectory planning for merge scenarios in congested traffic situations. ITSC (2016)
Isak Nielsen, Daniel Axehill
An O (log N) parallel algorithm for newton step computations with applications to moving horizon estimation. ECC (2016)
Niclas Evestedt, Daniel Axehill, Marco Trincavelli, Fredrik Gustafsson
Sampling recovery for closed loop rapidly expanding random tree using brake profile regeneration. Intelligent Vehicles Symposium (2015)
Isak Nielsen, Daniel Axehill
A parallel structure exploiting factorization algorithm with applications to Model Predictive Control. CDC (2015)
Martin A. Skoglund, Gustaf Hendeby, Daniel Axehill
Extended Kalman filter modifications based on an optimization view point. FUSION (2015)
Alexander Fuchs, Daniel Axehill, Manfred Morari
Lifted Evaluation of mp-MIQP Solutions. IEEE Trans. Autom. Control. 60 (12) (2015)
Daniel Axehill
Controlling the level of sparsity in MPC. Syst. Control. Lett. 76 (2015)
Daniel Axehill, Thomas Besselmann, Davide Martino Raimondo, Manfred Morari
A parametric branch and bound approach to suboptimal explicit hybrid MPC. Autom. 50 (1) (2014)
Isak Nielsen, Daniel Ankelhed, Daniel Axehill
Low-rank modifications of Riccati factorizations with applications to Model Predictive Control. CDC (2013)
Daniel Axehill, Manfred Morari
An alternative use of the Riccati recursion for efficient optimization. Syst. Control. Lett. 61 (1) (2012)
Jan Siroky, Miroslav Simandl, Daniel Axehill, Ivo Puncochár
An optimization approach to resolve the competing aims of active fault detection and control. CDC/ECC (2011)
Daniel Axehill, Lieven Vandenberghe, Anders Hansson
Convex relaxations for mixed integer predictive control. Autom. 46 (9) (2010)
Alexander N. Fuchs, Daniel Axehill, Manfred Morari
On the choice of the linear decision functions for point location in polytopic data sets - Application to Explicit MPC. CDC (2010)
Daniel Axehill, Manfred Morari
Improved complexity analysis of branch and bound for hybrid MPC. CDC (2010)
Daniel Axehill, Anders Hansson
A dual gradient projection quadratic programming algorithm tailored for model predictive control. CDC (2008)
Daniel Axehill, Fredrik Gunnarsson, Anders Hansson
A Low-Complexity High-Performance Preprocessing Algorithm for Multiuser Detection Using Gold Sequences. IEEE Trans. Signal Process. 56 (9) (2008)
Daniel Axehill, Anders Hansson, Lieven Vandenberghe
Relaxations applicable to mixed integer predictive control comparisons and efficient computations. CDC (2007)
Daniel Axehill, Anders Hansson
A Mixed Integer Dual Quadratic Programming Algorithm Tailored for MPC. CDC (2006)
Daniel Axehill, Anders Hansson
A preprocessing algorithm for MIQP solvers with applications to MPC. CDC (2004)

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Publication Activity (10 Years)

Top Topics

Top Venues

Daniel Axehill