Oskar Ljungqvist

Publication Activity (10 Years)

Years Active: 2016-2021
Publications (10 Years): 21

Top Topics

Complex Environments

Model Predictive Control

Motion Planning

Top Venues

Publications

Kristoffer Bergman, Oskar Ljungqvist, Daniel Axehill
Improved Path Planning by Tightly Combining Lattice-Based Path Planning and Optimal Control. IEEE Trans. Intell. Veh. 6 (1) (2021)
Kristoffer Bergman, Oskar Ljungqvist, Jonas Linder, Daniel Axehill
An Optimization-Based Motion Planner for Autonomous Maneuvering of Marine Vessels in Complex Environments. CDC (2020)
Rui Oliveira, Oskar Ljungqvist, Pedro F. Lima, Jonas Mårtensson, Bo Wahlberg
A Geometric Approach to On-road Motion Planning for Long and Multi-Body Heavy-Duty Vehicles. CoRR (2020)
Oskar Ljungqvist, Daniel Axehill, Henrik Pettersson
On sensing-aware model predictive path-following control for a reversing general 2-trailer with a car-like tractor. ICRA (2020)
Rui Oliveira, Oskar Ljungqvist, Pedro F. Lima, Bo Wahlberg
A Geometric Approach to On-road Motion Planning for Long and Multi-Body Heavy-Duty Vehicles. IV (2020)
Rui Oliveira, Oskar Ljungqvist, Pedro F. Lima, Bo Wahlberg
Optimization-Based On-Road Path Planning for Articulated Vehicles. CoRR (2020)
Oskar Ljungqvist, Daniel Axehill, Henrik Pettersson, Johan Löfberg
Estimation-aware model predictive path-following control for a general 2-trailer with a car-like tractor. CoRR (2020)
Oskar Ljungqvist, Daniel Axehill, Henrik Pettersson
On sensing-aware model predictive path-following control for a reversing general 2-trailer with a car-like tractor. CoRR (2020)
Oskar Ljungqvist, Daniel Axehill
A predictive path-following controller for multi-steered articulated vehicles. CoRR (2019)
Oskar Ljungqvist, Niclas Evestedt, Daniel Axehill, Marcello Cirillo, Henrik Pettersson
A path planning and path-following control framework for a general 2-trailer with a car-like tractor. J. Field Robotics 36 (8) (2019)
Oskar Ljungqvist, Niclas Evestedt, Daniel Axehill, Marcello Cirillo, Henrik Pettersson
A path planning and path-following control framework for a general 2-trailer with a car-like tractor. CoRR (2019)
Kristoffer Bergman, Oskar Ljungqvist, Daniel Axehill
Improved Optimization of Motion Primitives for Motion Planning in State Lattices. IV (2019)
Oskar Ljungqvist, Kristoffer Bergman, Daniel Axehill
Optimization-based motion planning for multi-steered articulated vehicles. CoRR (2019)
Oskar Ljungqvist, Daniel Axehill, Johan Löfberg
On stability for state-lattice trajectory tracking control. ACC (2018)
Gustav Ling, Klas Lindsten, Oskar Ljungqvist, Johan Löfberg, Christoffer Norin, Christian A. Larsson
Fuel-efficient Model Predictive Control for Heavy Duty Vehicle Platooning using Neural Networks. ACC (2018)
Olov Andersson, Oskar Ljungqvist, Mattias Tiger, Daniel Axehill, Fredrik Heintz
Receding-Horizon Lattice-Based Motion Planning with Dynamic Obstacle Avoidance. CDC (2018)
Oskar Ljungqvist, Niclas Evestedt, Marcello Cirillo, Daniel Axehill, Olov Holmer
Lattice-based motion planning for a general 2-trailer system. Intelligent Vehicles Symposium (2017)
Niclas Evestedt, Oskar Ljungqvist, Daniel Axehill
Path tracking and stabilization for a reversing general 2-trailer configuration using a cascaded control approach. Intelligent Vehicles Symposium (2016)
Oskar Ljungqvist, Daniel Axehill, Anders Helmersson
Path following control for a reversing general 2-trailer system. CDC (2016)
Niclas Evestedt, Oskar Ljungqvist, Daniel Axehill
Motion planning for a reversing general 2-trailer configuration using Closed-Loop RRT. IROS (2016)
Niclas Evestedt, Oskar Ljungqvist, Daniel Axehill
Path tracking and stabilization for a reversing general 2-trailer configuration using a cascaded control approach. CoRR (2016)