Daniel Axehill

Orcid: 0000-0001-6957-2603

According to our database1, Daniel Axehill authored at least 71 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Exact Worst-Case Execution-Time Analysis for Implicit Model Predictive Control.
IEEE Trans. Autom. Control., October, 2024

Disturbance-Parametrized Robust Lattice-Based Motion Planning.
IEEE Trans. Intell. Veh., January, 2024

Extended Target Tracking Utilizing Machine-Learning Software-With Applications to Animal Classification.
IEEE Signal Process. Lett., 2024

A High-Performant Multi-Parametric Quadratic Programming Solver.
CoRR, 2024

Uncertainty quantification in neural network classifiers - A local linear approach.
Autom., 2024

Improved Task and Motion Planning for Rearrangement Problems using Optimal Control<sup>*</sup>.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

2023
On the validity of using the delta method for calculating the uncertainty of the predictions from an overparameterized model.
CoRR, 2023

Exact Complexity Certification of Start Heuristics in Branch-and-Bound Methods for Mixed-Integer Linear Programming.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

On Integrated Optimal Task and Motion Planning for a Tractor-Trailer Rearrangement Problem.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
PMBM Filter With Partially Grid-Based Birth Model With Applications in Sensor Management.
IEEE Trans. Aerosp. Electron. Syst., 2022

A Dual Active-Set Solver for Embedded Quadratic Programming Using Recursive LDL$^{T}$ Updates.
IEEE Trans. Autom. Control., 2022

A Unifying Complexity Certification Framework for Active-Set Methods for Convex Quadratic Programming.
IEEE Trans. Autom. Control., 2022

A Linear Programming Method Based on Proximal-Point Iterations With Applications to Multi-Parametric Programming.
IEEE Control. Syst. Lett., 2022

Robust Lattice-based Motion Planning.
CoRR, 2022

On Integrating POMDP and Scenario MPC for Planning under Uncertainty - with Applications to Highway Driving.
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

LiDAR-Landmark Modeling for Belief-Space Planning using Aerial Forest Data.
Proceedings of the 25th International Conference on Information Fusion, 2022

Detection of outliers in classification by using quantified uncertainty in neural networks.
Proceedings of the 25th International Conference on Information Fusion, 2022

Exact Complexity Certification of a Standard Branch and Bound Method for Mixed-Integer Linear Programming.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Lift, Partition, and Project: Parametric Complexity Certification of Active-Set QP Methods in the Presence of Numerical Errors.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Overall Complexity Certification of a Standard Branch and Bound Method for Mixed-Integer Quadratic Programming.
Proceedings of the American Control Conference, 2022

On a Traveling Salesman Problem with Dynamic Obstacles and Integrated Motion Planning.
Proceedings of the American Control Conference, 2022

2021
Improved Path Planning by Tightly Combining Lattice-Based Path Planning and Optimal Control.
IEEE Trans. Intell. Veh., 2021

Sensor Management for Search and Track Using the Poisson Multi-Bernoulli Mixture Filter.
IEEE Trans. Aerosp. Electron. Syst., 2021

Complexity Certification of Proximal-Point Methods for Numerically Stable Quadratic Programming.
IEEE Control. Syst. Lett., 2021

An Efficient Dual Active-Set Solver for Embedded Model Predictive Control.
CoRR, 2021

Improved Virtual Landmark Approximation for Belief-Space Planning.
Proceedings of the 24th IEEE International Conference on Information Fusion, 2021

Modeling of the tire-road friction using neural networks including quantification of the prediction uncertainty.
Proceedings of the 24th IEEE International Conference on Information Fusion, 2021

Semi-Explicit Linear MPC Using a Warm-Started Active-Set QP Algorithm with Exact Complexity Guarantees.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020
Exact Complexity Certification of a Nonnegative Least-Squares Method for Quadratic Programming.
IEEE Control. Syst. Lett., 2020

Estimation-aware model predictive path-following control for a general 2-trailer with a car-like tractor.
CoRR, 2020

On sensing-aware model predictive path-following control for a reversing general 2-trailer with a car-like tractor.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Belief Space Planning using Landmark Density Information.
Proceedings of the IEEE 23rd International Conference on Information Fusion, 2020

An Optimization-Based Motion Planner for Autonomous Maneuvering of Marine Vessels in Complex Environments.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019
Direct Parallel Computations of Second-Order Search Directions for Model Predictive Control.
IEEE Trans. Autom. Control., 2019

A path planning and path-following control framework for a general 2-trailer with a car-like tractor.
J. Field Robotics, 2019

Optimization-based motion planning for multi-steered articulated vehicles.
CoRR, 2019

A predictive path-following controller for multi-steered articulated vehicles.
CoRR, 2019

Improved Optimization of Motion Primitives for Motion Planning in State Lattices.
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

Informative Path Planning in the Presence of Adversarial Observers.
Proceedings of the 22th International Conference on Information Fusion, 2019

Exact Complexity Certification of a Standard Primal Active-Set Method for Quadratic Programming.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018
Low-Rank Modifications of Riccati Factorizations for Model Predictive Control.
IEEE Trans. Autom. Control., 2018

On Global Optimization for Informative Path Planning.
IEEE Control. Syst. Lett., 2018

Combining Homotopy Methods and Numerical Optimal Control to Solve Motion Planning Problems.
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

Receding-Horizon Lattice-Based Motion Planning with Dynamic Obstacle Avoidance.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

On stability for state-lattice trajectory tracking control.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
Probabilistic Model for Interaction Aware Planning in Merge Scenarios.
IEEE Trans. Intell. Veh., 2017

Lattice-based motion planning for a general 2-trailer system.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2017

2016
Path tracking and stabilization for a reversing general 2-trailer configuration using a cascaded control approach.
Proceedings of the 2016 IEEE Intelligent Vehicles Symposium, 2016

Interaction aware trajectory planning for merge scenarios in congested traffic situations.
Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

Motion planning for a reversing general 2-trailer configuration using Closed-Loop RRT.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

An O (log N) parallel algorithm for newton step computations with applications to moving horizon estimation.
Proceedings of the 15th European Control Conference, 2016

Reduced memory footprint in multiparametric quadratic programming by exploiting low rank structure.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Path following control for a reversing general 2-trailer system.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015
Lifted Evaluation of mp-MIQP Solutions.
IEEE Trans. Autom. Control., 2015

Controlling the level of sparsity in MPC.
Syst. Control. Lett., 2015

Sampling recovery for closed loop rapidly expanding random tree using brake profile regeneration.
Proceedings of the 2015 IEEE Intelligent Vehicles Symposium, 2015

Extended Kalman filter modifications based on an optimization view point.
Proceedings of the 18th International Conference on Information Fusion, 2015

A parallel structure exploiting factorization algorithm with applications to Model Predictive Control.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

2014
A parametric branch and bound approach to suboptimal explicit hybrid MPC.
Autom., 2014

2013
Low-rank modifications of Riccati factorizations with applications to Model Predictive Control.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

2012
An alternative use of the Riccati recursion for efficient optimization.
Syst. Control. Lett., 2012

2011
An optimization approach to resolve the competing aims of active fault detection and control.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2010
Convex relaxations for mixed integer predictive control.
Autom., 2010

On the choice of the linear decision functions for point location in polytopic data sets - Application to Explicit MPC.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Improved complexity analysis of branch and bound for hybrid MPC.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

2008
Integer Quadratic Programming for Control and Communication.
PhD thesis, 2008

A Low-Complexity High-Performance Preprocessing Algorithm for Multiuser Detection Using Gold Sequences.
IEEE Trans. Signal Process., 2008

A dual gradient projection quadratic programming algorithm tailored for model predictive control.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

2007
Relaxations applicable to mixed integer predictive control comparisons and efficient computations.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007

2006
A Mixed Integer Dual Quadratic Programming Algorithm Tailored for MPC.
Proceedings of the 45th IEEE Conference on Decision and Control, 2006

2004
A preprocessing algorithm for MIQP solvers with applications to MPC.
Proceedings of the 43rd IEEE Conference on Decision and Control, 2004


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