Követés
Daniel Axehill
Daniel Axehill
Professor, Automatic Control, Linköping University
E-mail megerősítve itt: liu.se - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
Improved path planning by tightly combining lattice-based path planning and optimal control
K Bergman, O Ljungqvist, D Axehill
IEEE Transactions on Intelligent Vehicles 6 (1), 57-66, 2020
1102020
A path planning and path‐following control framework for a general 2‐trailer with a car‐like tractor
O Ljungqvist, N Evestedt, D Axehill, M Cirillo, H Pettersson
Journal of Field Robotics 36 (8), 1345-1377, 2019
1012019
Extended Kalman Filter Modifications Based on an Optimization View Point
M Skoglund, G Hendeby, D Axehill
18th International Conference of Information Fusion, Washington, DC, USA …, 2015
962015
Integer Quadratic Programming for Control and Communcation
D Axehill
Department of Electrical Engineering, Linköping University, 2008
902008
Lattice-based motion planning for a general 2-trailer system
O Ljungqvist, N Evestedt, M Cirillo, D Axehill, O Holmer
2017 IEEE Intelligent Vehicles Symposium (IV), 819-824, 2017
802017
A parametric branch and bound approach to suboptimal explicit hybrid MPC
D Axehill, T Besselmann, DM Raimondo, M Morari
Automatica 50 (1), 240-246, 2014
782014
Interaction aware trajectory planning for merge scenarios in congested traffic situations
N Evestedt, E Ward, J Folkesson, D Axehill
2016 IEEE 19th International Conference on Intelligent Transportation …, 2016
662016
Motion planning for a reversing general 2-trailer configuration using Closed-Loop RRT
N Evestedt, O Ljungqvist, D Axehill
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016
652016
Convex relaxations for mixed integer predictive control
D Axehill, L Vandenberghe, A Hansson
Automatica 46 (9), 1540-1545, 2010
582010
A dual gradient projection quadratic programming algorithm tailored for model predictive control
D Axehill, A Hansson
2008 47th IEEE Conference on Decision and Control, 3057-3064, 2008
582008
Receding-horizon lattice-based motion planning with dynamic obstacle avoidance
O Andersson, O Ljungqvist, M Tiger, D Axehill, F Heintz
2018 IEEE Conference on Decision and Control (CDC), 4467-4474, 2018
572018
Combining homotopy methods and numerical optimal control to solve motion planning problems
K Bergman, D Axehill
2018 IEEE Intelligent Vehicles Symposium (IV), 347-354, 2018
562018
Controlling the level of sparsity in MPC
D Axehill
Systems & Control Letters 76, 1-7, 2015
552015
A Dual Active-Set Solver for Embedded Quadratic Programming Using Recursive LDL Updates
D Arnström, A Bemporad, D Axehill
IEEE Transactions on Automatic Control 67 (8), 4362-4369, 2022
512022
Probabilistic model for interaction aware planning in merge scenarios
E Ward, N Evestedt, D Axehill, J Folkesson
IEEE Transactions on Intelligent Vehicles 2 (2), 133-146, 2017
502017
A mixed integer dual quadratic programming algorithm tailored for MPC
D Axehill, A Hansson
Proceedings of the 45th IEEE Conference on Decision and Control, 5693-5698, 2006
442006
Applications of integer quadratic programming in control and communication
D Axehill
Dept. of Electrical Engineering, Linköping University, 2005
432005
A unifying complexity certification framework for active-set methods for convex quadratic programming
D Arnström, D Axehill
IEEE Transactions on Automatic Control 67 (6), 2758-2770, 2021
422021
An optimization-based motion planner for autonomous maneuvering of marine vessels in complex environments
K Bergman, O Ljungqvist, J Linder, D Axehill
2020 59th IEEE Conference on Decision and Control (CDC), 5283-5290, 2020
402020
Sensor management for search and track using the Poisson multi-Bernoulli mixture filter
P Boström-Rost, D Axehill, G Hendeby
IEEE Transactions on Aerospace and Electronic Systems 57 (5), 2771-2783, 2021
372021
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