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15

November

Qunying Song's PhD defence: Critical Scenario Identification for Testing of Realistic Autonomous Driving Systems

Tid: 2024-11-15 09:15 till 11:00 Disputation

The public defence of the thesis takes place on Friday November 15th, 2024 at 09:15.

Thesis title: Critical Scenario Identification for Testing of Realistic Autonomous Driving Systems

Author: Qunying Song, Department of Computer Science, Lund University

Faculty opponent: Professor Dietmar Pfahl, University of Tartu, Estonia

Examination Committee:

  • Professor Martin Törngren, Royal Institute of Technology
  • Professor Christian Berger, University of Gothenburg
  • Doctor Efi Papatheocharous, RISE
  • Deputy: Senior Lecturer Aliaksei Laureshyn, Lund University

Session chair: Professor Björn Regnell, Lund University

Supervisors:

  • Professor Per Runeson, Lund University
  • Associate Professor Emelie Engström, Lund University

Location: E:1406, E-building, Klas Anshelms väg 10 / John Ericssons väg 2, Lund, Sweden

For download: Follow this link to download the pdf: Link to follow...

Abstract

Abstract to be uploaded

 



Om händelsen
Tid: 2024-11-15 09:15 till 11:00

Plats
E:1406, E-building, Klas Anshelms väg 10 / John Ericssons väg 2, Lund, Sweden

Kontakt
qunying [dot] song [at] cs [dot] lth [dot] se