Automatic Testing of an Autonomous Parking System Using Evolutionary Computation 2004-01-0459
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.
Citation: Bühler, O. and Wegener, J., "Automatic Testing of an Autonomous Parking System Using Evolutionary Computation," SAE Technical Paper 2004-01-0459, 2004, https://doi.org/10.4271/2004-01-0459. Download Citation
Author(s):
Oliver Bühler, Joachim Wegener
Affiliated:
STZ Softwaretechnik, DaimlerChrysler AG, Research and Technology
Pages: 10
Event:
SAE 2004 World Congress & Exhibition
ISSN:
0148-7191
e-ISSN:
2688-3627
Also in:
Reliability and Robust Design in Automotive Engineering-SP-1844
Related Topics:
Optimization
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