Kristoffer Bergman
Kristoffer Bergman
Phd Student Automatic Control, Linköping University
Verifierad e-postadress på liu.se
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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
182018
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
112020
Modeling, estimation and attitude control of an octorotor using PID and L1 adaptive control techniques
K Bergman, J Ekström
112014
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
92019
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
52020
On motion planning using numerical optimal control
K Bergman
Linköping University Electronic Press, 2019
52019
An optimization-based receding horizon trajectory planning algorithm
K Bergman, O Ljungqvist, T Glad, D Axehill
IFAC-PapersOnLine 53 (2), 15550-15557, 2020
32020
Exploiting Direct Optimal Control for Motion Planning in Unstructured Environments
K Bergman
Linköping University Electronic Press, 2021
12021
Optimization-based motion planning for multi-steered articulated vehicles
O Ljungqvist, K Bergman, D Axehill
IFAC-PapersOnLine 53 (2), 15580-15587, 2020
12020
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
2020
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Artiklar 1–10