| 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 | 138 | 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 | 121 | 2019 |
| 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 | 104 | 2015 |
| 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 | 93 | 2017 |
| Integer Quadratic Programming for Control and Communcation D Axehill Department of Electrical Engineering, Linköping University, 2008 | 91 | 2008 |
| 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 | 82 | 2014 |
| 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 | 79 | 2022 |
| 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 | 75 | 2016 |
| 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 | 72 | 2016 |
| 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 | 70 | 2018 |
| 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 | 62 | 2018 |
| 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 | 62 | 2008 |
| Controlling the level of sparsity in MPC D Axehill Systems & Control Letters 76, 1-7, 2015 | 61 | 2015 |
| Convex relaxations for mixed integer predictive control D Axehill, L Vandenberghe, A Hansson Automatica 46 (9), 1540-1545, 2010 | 61 | 2010 |
| 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 | 54 | 2021 |
| 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 | 53 | 2017 |
| 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 | 48 | 2020 |
| 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 | 47 | 2006 |
| 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 | 44 | 2021 |
| Applications of integer quadratic programming in control and communication D Axehill Dept. of Electrical Engineering, Linköping University, 2005 | 44 | 2005 |
Kristoffer BergmanThe Rainforest @ Saab ABVerified email at thernfrst.io
