Automatic Control

Faculty of Engineering, LTH

Automatic Control

LTH best Master's thesis

Johanna Wilroth has been awarded the prize "LTHs Jubileumsstipendium 2020" for the best master thesis at LTH. In her thesis "Domain Adaptation for Attention Steering," Wilroth studied novel algorithms for improving the performance of hearing aids using EEG signals in combination with auditory input. The master thesis was done at the Department of Automatic Control, with Carolina Bergeling as main supervisor, in collaboration with the research center Eriksholm/Oticon in Denmark. The collaboration also involved the departments of Psychology and Mathematical Statistics at Lund University.


M.Sc by Karlsson & Fredin: Development of a controller to switch between relative and absolute path for target vehicles in simulation scenarios

M.Sc by Karlsson & Fredin: Development of a controller to switch between relative and absolute path  for target vehicles in simulation scenarios


From: 2021-06-17 10:30 to 11:15
Contact: anton [dot] cervin [at] control [dot] lth [dot] se
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Simulating vehicle scenarios for autonomous cars saves both time and money compared to physical testing. For this to work efficiently a sophisticated simulation software is often needed. Esmini is an open-source, lightweight vehicle simulator that can handle advanced traffic scenarios. When designing scenarios to be used for testing autonomous vehicles, it is often beneficial to set up relative vehicle behaviour to ensure that a hazardous situation arises. This could be that the car in front of the autonomous car drives a couple of kilometers per hour slower compared to the autonomous car. At some point the autonomous car must react to avoid a collision, e.g. by braking. To avoid having the car in front slowing down with the autonomous car, a switch must be done such that the car in front has an absolute speed. Hence, the purpose of the controller developed in this thesis is to decide when to switch from the relative setup and what the new speed and control objective should be. This is implemented by simulating a short period into the future to observe how the scenario develops. The controller generates predictions using simulation data of the events that should transpire for every vehicle except the autonomous one. The expected vehicle states are then continuously compared to the actual vehicle states generated during the simulation. If the actual vehicle states deviate too far from the expected values, a switch occurs. A new objective is then given to the vehicle, depending on its behavior before the switch and what type of relative setup that previously existed. The proposed solution is uploaded to the official Esmini repository and has been tested in traffic scenarios with CSPAS, a platform where Volvo's active safety functions can run. The performance of the controller depends on how it's tuned. For all tested scenarios a satisfying result has been achieved.

Students: Olof Karlsson

                 Erik Fredin

Advisors: Anton Cervin, Dept. of Automatic Control, LTH

                Angel Molina Acosta, Volvo Cars

Examiner: Anders Robertsson, Dept. of Automatic Control, LTH

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