Comparing Collision Threat Measures for Verification of Autonomous Vehicles using Extreme Value Theory
Paper i proceeding, 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

Författare

Daniel Åsljung

Chalmers, Signaler och system, System- och reglerteknik, Mekatronik

Jonas Nilsson

Volvo Cars

Jonas Fredriksson

Chalmers, Signaler och system, System- och reglerteknik, Mekatronik

IFAC-PapersOnLine

2405-8963 (ISSN)

15 57-62

Styrkeområden

Transport

Ämneskategorier

Robotteknik och automation

Sannolikhetsteori och statistik

DOI

10.1016/j.ifacol.2016.07.709

Mer information

Senast uppdaterat

2018-07-06