15
November
Qunying Song's PhD defence: Critical Scenario Identification for Testing of Realistic Autonomous Driving Systems
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