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pro vyhledávání: '"Ljungqvist, Oskar"'
Autor:
Ljungqvist, Oskar
During the last decades, improved sensor and hardware technologies as well as new methods and algorithms have made self-driving vehicles a realistic possibility in the near future. Thanks to this technology enhancement, many leading automotive and te
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-153892
An enabling technology for future sea transports is safe and energy-efficient autonomous maritime navigation in narrow environments with other marine vessels present. This requires that the algorithm controlling the ship is able to account for the ve
Externí odkaz:
http://arxiv.org/abs/2012.12145
Driving heavy-duty vehicles, such as buses and tractor-trailer vehicles, is a difficult task in comparison to passenger cars. Most research on motion planning for autonomous vehicles has focused on passenger vehicles, and many unique challenges assoc
Externí odkaz:
http://arxiv.org/abs/2010.07133
The task of maneuvering ships in confined environments is a difficult task for a human operator. One major reason is due to the complex and slow dynamics of the ship which need to be accounted for in order to successfully steer the vehicle. In this w
Externí odkaz:
http://arxiv.org/abs/2005.02674
The design of the path-following controller is crucial for reliable autonomous vehicle operation. This design problem is especially challenging for a general 2-trailer with a car-like tractor due to the vehicle's unstable joint-angle kinematics in ba
Externí odkaz:
http://arxiv.org/abs/2002.10291
The design of reliable path-following controllers is a key ingredient for successful deployment of self-driving vehicles. This controller-design problem is especially challenging for a general 2-trailer with a car-like tractor due to the vehicle's st
Externí odkaz:
http://arxiv.org/abs/2002.06874
Maneuvering an articulated vehicle on narrow road stretches is often a challenging task for a human driver. Unless the vehicle is accurately steered, parts of the vehicle's bodies may exceed its assigned drive lane, resulting in an increased risk of
Externí odkaz:
http://arxiv.org/abs/2001.06827
The task of maneuvering a multi-steered articulated vehicle in confined environments is difficult even for experienced drivers. In this work, we present an optimization-based trajectory planner targeting low-speed maneuvers in unstructured environmen
Externí odkaz:
http://arxiv.org/abs/1912.06264
Autor:
Ljungqvist, Oskar, Axehill, Daniel
Stabilizing multi-steered articulated vehicles in backward motion is a complex task for any human driver. Unless the vehicle is accurately steered, its structurally unstable joint-angle kinematics during reverse maneuvers can cause the vehicle segmen
Externí odkaz:
http://arxiv.org/abs/1912.06259
This paper presents an optimization-based receding horizon trajectory planning algorithm for dynamical systems operating in unstructured and cluttered environments. The proposed approach is a two-step procedure that uses a motion planning algorithm i
Externí odkaz:
http://arxiv.org/abs/1912.05259