Comparing Collision Threat Measures for Verification of Autonomous Vehicles using Extreme Value Theory
Paper in proceedings, 2016

The verification of safety is expected to be one of the largest challenges in the commercialization of autonomous vehicles. Using traditional methods would require infeasible time and resources. Recent research has shown the possibility of using near-collisions in order to estimate the frequency of actual collisions using Extreme Value Theory. However, little research has been done on how the measure for determining the closeness to a collision affect the result of the estimation. This paper compares a collision-based measure against one that relates to an inevitable collision state. The result shows that using inevitable collision states is more robust and that more research needs to be made into measures of collision proximity.

Verification & Validation

Automotive

Statistical inference

Autonomous vehicles

Safety

Author

Daniel Åsljung

Chalmers, Signals and Systems, Systems and control, Mechatronics

Jonas Nilsson

Volvo Cars

Jonas Fredriksson

Chalmers, Signals and Systems, Systems and control, Mechatronics

IFAC-PapersOnLine

24058963 (eISSN)

15 57-62

Areas of Advance

Transport

Subject Categories

Robotics

Probability Theory and Statistics

DOI

10.1016/j.ifacol.2016.07.709

More information

Latest update

7/6/2018 1