Daniel Åsljung

Doctoral Student at Mechatronics

Daniel Ă…sljung 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
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Showing 7 publications

2021

On Automated Vehicle Collision Risk Estimation using Threat Metrics in Subset Simulation

Daniel Åsljung, Carl Zandén, Jonas Fredriksson et al
IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
Paper in proceeding
2019

A probabilistic framework for collision probability estimation and an analysis of the discretization precision

Daniel Åsljung, Mathias Westlund, Jonas Fredriksson
IEEE Intelligent Vehicles Symposium, Proceedings. Vol. 2019-June, p. 52-57
Paper in proceeding
2018

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 proceeding
2017

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
2016

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

Daniel Åsljung, Jonas Nilsson, Jonas Fredriksson
IFAC-PapersOnLine. Vol. 49 (15), p. 57-62
Paper in proceeding

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