| 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 | 100 | 2020 |
| 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 | 98 | 2019 |
| 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 | 77 | 2017 |
| 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 | 61 | 2016 |
| 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 | 56 | 2018 |
| 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 | 35 | 2020 |
| 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 | 35 | 2016 |
| Optimization-based on-road path planning for articulated vehicles R Oliveira, O Ljungqvist, PF Lima, B Wahlberg IFAC-PapersOnLine 53 (2), 15572-15579, 2020 | 34 | 2020 |
| 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 | 29 | 2016 |
| An optimization-based receding horizon trajectory planning algorithm K Bergman, O Ljungqvist, T Glad, D Axehill IFAC-PapersOnLine 53 (2), 15550-15557, 2020 | 26 | 2020 |
| 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 | 23 | 2019 |
| Motion planning and stabilization for a reversing truck and trailer system O Ljungqvist | 21 | 2015 |
| 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 2020 IEEE International Conference on Robotics and Automation (ICRA), 8813-8819, 2020 | 16 | 2020 |
| Motion planning and feedback control techniques with applications to long tractor-trailer vehicles O Ljungqvist Linköping University Electronic Press, 2020 | 14 | 2020 |
| 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 | 14 | 2018 |
| A geometric approach to on-road motion planning for long and multi-body heavy-duty vehicles R Oliveira, O Ljungqvist, PF Lima, B Wahlberg 2020 IEEE Intelligent Vehicles Symposium (IV), 999-1006, 2020 | 12 | 2020 |
| On stability for state-lattice trajectory tracking control O Ljungqvist, D Axehill, J Löfberg 2018 Annual American Control Conference (ACC), 5868-5875, 2018 | 12 | 2018 |
| A predictive path-following controller for multi-steered articulated vehicles O Ljungqvist, D Axehill IFAC-PapersOnLine 53 (2), 15725-15732, 2020 | 11 | 2020 |
| 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 | 10 | 2020 |
| A colregs-compliant motion planner for autonomous maneuvering of marine vessels in complex environments K Bergman, O Ljungqvist, J Linder, D Axehill arXiv preprint arXiv:2012.12145, 2020 | 9 | 2020 |
Daniel AxehillProfessor, Automatic Control, Linköping UniversityVerificeret mail på liu.se
