Daniel Åsljung

Doktorand at Chalmers, Electrical Engineering, Systems and control, Mechatronics

Daniel Åsljung is an Industrial PhD Student in the Mechatronics research group, in cooperation with Volvo Car Group. His research focuses on theory and methods around the verification of autonomous vehicles. Since autonomous vehicles need to be able to handle all types of situations that can occur, there is a significantly higher demand on the verification of these vehicles. Therefore, new methods are needed to be able to verify the safety in a more time-efficient way.

Source: chalmers.se

Showing 4 publications


Validation of Collision Frequency Estimation Using Extreme Value Theory

Daniel Åsljung, Jonas Nilsson, Jonas Fredriksson
Proceedings of the IEEE Intelligent Transportation Systems Conference, 2017, p. 1857-1862
Paper in proceedings

Using Extreme Value Theory for Vehicle Level Safety Validation and Implications for Autonomous Vehicles

Daniel Åsljung, Jonas Nilsson, Jonas Fredriksson
IEEE Transactions on Intelligent Vehicles. Vol. 2 (4), p. 288-297
Journal article

Comparing Collision Threat Measures for Verification of Autonomous Vehicles using Extreme Value Theory

Daniel Åsljung, Jonas Nilsson, Jonas Fredriksson
IFAC-PapersOnLine (15), p. 57-62
Paper in proceedings

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