On Safety Validation of Automated Driving Systems using Extreme Value Theory
Licentiate thesis, 2017

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Verification

Autonomous Vehicles

Performance Evaluation

Automotive

Author

Daniel Åsljung

Chalmers, Signals and Systems, Systems and control

Included papers

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

More information

Created

11/16/2017