Automatic Testing of an Autonomous Parking System Using Evolutionary Computation STZ Softwaretechnik

Format:

Conference/Event

Author/Creator:

Bühler, Oliver, author.

Conference Name:

SAE 2004 World Congress & Exhibition (2004-03-08 : Detroit, Michigan, United States)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 2004

Summary:

The method of evolutionary functional testing allows it to automate testing by transforming the test case design into an optimization problem. For this aim it is necessary to define a suitable fitness function. In this paper for an autonomous parking system two different approaches for fitness functions are presented, which evaluate the quality of parking maneuver automatically. A numerical analysis shows, that the proposed area criterion supports a faster convergence of the optimization compared to the proposed distance criterion and that the proposed area criterion describes an efficient method to find functional errors in an automated way

Notes:

Vendor supplied data

Publisher Number:

2004-01-0459

Access Restriction:

Restricted for use by site license