Oskar Ljungqvist
Oskar Ljungqvist
PhD, Linköping University
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Year
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
292017
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
242019
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
222016
Path following control for a reversing general 2-trailer system
O Ljungqvist, D Axehill, A Helmersson
2016 IEEE 55th Conference on Decision and Control (CDC), 2455-2461, 2016
212016
Path tracking and stabilization for a reversing general 2-trailer configuration using a cascaded control approach
N Evestedt, O Ljungqvist, D Axehill
2016 IEEE Intelligent Vehicles Symposium (IV), 1156-1161, 2016
152016
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
142018
Motion planning and stabilization for a reversing truck and trailer system
O Ljungqvist
132015
Improved optimization of motion primitives for motion planning in state lattices
K Bergman, O Ljungqvist, D Axehill
2019 IEEE Intelligent Vehicles Symposium (IV), 2307-2314, 2019
52019
Improved path planning by tightly combining lattice-based path planning and numerical optimal control
K Bergman, O Ljungqvist, D Axehill
arXiv preprint arXiv:1903.07900, 2019
42019
On stability for state-lattice trajectory tracking control
O Ljungqvist, D Axehill, J Löfberg
2018 Annual American Control Conference (ACC), 5868-5875, 2018
42018
Fuel-efficient Model Predictive Control for Heavy Duty Vehicle Platooning using Neural Networks
G Ling, K Lindsten, O Ljungqvist, J Löfberg, C Norén, CA Larsson
2018 Annual American Control Conference (ACC), 3994-4001, 2018
42018
An Optimization-Based Motion Planner for Autonomous Maneuvering of Marine Vessels in Complex Environments
K Bergman, O Ljungqvist, J Linder, D Axehill
arXiv preprint arXiv:2005.02674, 2020
32020
Improved path planning by tightly combining lattice-based path planning and optimal control
K Bergman, O Ljungqvist, D Axehill
IEEE Transactions on Intelligent Vehicles, 2020
32020
Optimization-Based On-Road Path Planning for Articulated Vehicles
R Oliveira, O Ljungqvist, PF Lima, B Wahlberg
arXiv preprint arXiv:2001.06827, 2020
32020
On motion planning and control for truck and trailer systems
O Ljungqvist
Linköping University Electronic Press, 2019
32019
Motion planning and feedback control techniques with applications to long tractor-trailer vehicles
O Ljungqvist
Linköping University Electronic Press, 2020
12020
Estimation-aware model predictive path-following control for a general 2-trailer with a car-like tractor
O Ljungqvist, D Axehill, H Pettersson, J Löfberg
arXiv preprint arXiv:2002.10291, 2020
12020
On sensing-aware model predictive path-following control for a reversing general 2-trailer with a car-like tractor
O Ljungqvist, D Axehill, H Pettersson
arXiv preprint arXiv:2002.06874, 2020
12020
A predictive path-following controller for multi-steered articulated vehicles
O Ljungqvist, D Axehill
arXiv preprint arXiv:1912.06259, 2019
12019
An Optimization-Based Receding Horizon Trajectory Planning Algorithm
K Bergman, O Ljungqvist, T Glad, D Axehill
arXiv preprint arXiv:1912.05259, 2019
12019
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