Sun 10 - Wed 13 December 2023 Dornbirn, Austria
Mon 11 Dec 2023 09:10 - 09:50 at W303 - Doctoral symposium Chair(s): Maria Teresa Baldassarre, Tommi Mikkonen

An Automated Driving System (ADS) must undergo comprehensive safety testing before receiving a road permit. Since it is not clear what exactly constitutes sufficient safety for an ADS, one could assume that an ADS is safe enough if it is at least as safe as a Human Driven Vehicle (HDV). Simulation-based testing is a cost-effective way to check the safety of an ADS. My goal is to develop an approach to compare the safety behavior of ADS and HDV using simulation. This comparison aims to quantify the advantages and disadvantages of ADS compared to HDV. Additionally, I aim to develop a method for selecting specific scenarios that contribute to building trust in the accuracy and reliability of simulation results. This involves defining performance criteria against which the behaviour of an ADS in the simulator is compared to that of a HDV. Furthermore, I aim to translate the performance advantages or disadvantages observed in simulated ADS behavior into real-world safety-critical traffic scenarios.

Mon 11 Dec

Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

09:00 - 10:30
Doctoral symposiumDoctoral Symposium at W303
Chair(s): Maria Teresa Baldassarre Department of Computer Science, University of Bari , Tommi Mikkonen University of Helsinki
Day opening
Opening words
Doctoral Symposium

Doctoral symposium paper
Simulation-Based Safety Testing of Automated Driving Systems
Doctoral Symposium
Fauzia Khan University of Tartu, Hina Anwar University of Tartu, Dietmar Pfahl University of Tartu
Doctoral symposium paper
Utilization of Machine Learning for the detection of self-admitted vulnerabilities
Doctoral Symposium
Moritz Mock Free University of Bozen-Bolzano