On Safety Validation of Automated Driving Systems using Extreme Value Theory
Licentiate thesis, 2017
Verification
Autonomous Vehicles
Performance Evaluation
Automotive
Author
Daniel Åsljung
Chalmers, Signals and Systems, Systems and control
Included papers
Comparing Collision Threat Measures for Verification of Autonomous Vehicles using Extreme Value Theory
IFAC-PapersOnLine,;Vol. 49(2016)p. 57-62
Paper in proceeding
Using Extreme Value Theory for Vehicle Level Safety Validation and Implications for Autonomous Vehicles
IEEE Transactions on Intelligent Vehicles,;Vol. 2(2017)p. 288-297
Journal article
Åsljung, D., Nilsson, J., Fredriksson, J. Validation of Collision Frequency Estimation Using Extreme Value Theory
Manuscript
Categorizing
Areas of Advance
Transport
Subject Categories (SSIF 2011)
Electrical Engineering, Electronic Engineering, Information Engineering
Probability Theory and Statistics
Other
Publisher
Chalmers
Public defence
2017-12-13 14:15
Room EA, Hörsalsvägen 11
Opponent: Professor Holger Rootzén, Applied Mathematics and Statistics, Chalmers University of Technology