Daniel Axehill

Professor

Publications

2024

Magnus Malmström, Anton Kullberg, Isaac Skog, Daniel Axehill, Fredrik Gustafsson (2024) Extended Target Tracking Utilizing Machine-Learning Software-With Applications to Animal Classification IEEE Signal Processing Letters, Vol. 31, p. 376-380

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Magnus Malmström, Isaac Skog, Daniel Axehill, Fredrik Gustafsson (2024) Uncertainty quantification in neural network classifiers-A local linear approach Automatica, Vol. 163, Article 111563

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2023

Shamisa Shoja, Daniel Axehill (2023) Exact Complexity Certification of Suboptimal Branch-and-Bound Algorithms for Mixed-Integer Linear Programming IFAC PAPERSONLINE, p. 7428-7435

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Daniel Arnström, Daniel Axehill (2023) BnB-DAQP: A Mixed-Integer QP Solver for Embedded Applications IFAC PAPERSONLINE, p. 7420-7427

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Shamisa Shoja, Daniel Axehill (2023) Exact Complexity Certification of Start Heuristics in Branch-and-Bound Methods for Mixed-Integer Linear Programming 2023 62ND IEEE CONFERENCE ON DECISION AND CONTROL, CDC, p. 2292-2299

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News

A truck with a dolly and a trailer on Scania’s test track

Trucks with trailers can manoeuvre autonomously

Reversing a heavy truck with trailers is a job for a skilled professional driver – or a set of sensors and advanced computer software. Oskar Ljungqvist presents in his doctoral thesis a major step towards self-driving trucks.

Autonomous vehicles learn to find the best path

Kristoffer Bergman, doctoral student in Automatic Control, describes in his licentiate thesis methods to enable autonomous vehicles find the fastest or most energy-efficient path from starting point to a destination, even if obstacles are in the way.

Trucks can also manoeuvre autonomously

Oskar Ljungqvist, PhD student at the Division of Automatic Control at LiU, describes in his licentiate thesis the development of a system for motion planning and control, that enables trucks with trailers to move autonomously.

Research

Planering och optimeringsbaserad reglering för autonoma system

Planning and optimization-based control for autonomous systems

A central function of an autonomous system is to enable it to make use of its control signals. In our research, mathematical models are used by the system to predict the value and feasibility of possible choices of control signals.

WASP - Wallenberg AI, Autonomous Systems and Software Program

The fourth industrial revolution is upon us, as automation becomes autonomy. LiU conducts outstanding research in several of the fields that are central to the Wallenberg AI Autonomous Systems and Software Program, WASP.