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Modelling and Simulation in Engineering
Volume 2016, Article ID 5309348, 15 pages
http://dx.doi.org/10.1155/2016/5309348
Research Article

Automated Search-Based Robustness Testing for Autonomous Vehicle Software

1Leidos Inc., Huntsville, AL 35806, USA
2University of Alabama in Huntsville, Huntsville, AL 35899, USA

Received 28 April 2016; Revised 4 July 2016; Accepted 10 July 2016

Academic Editor: Min-Chie Chiu

Copyright © 2016 Kevin M. Betts and Mikel D. Petty. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [3 citations]

The following is the list of published articles that have cited the current article.

  • Yong Sun, Hanxiang Li, and Weilun Peng, “Robust Validation Platform of Autonomous Capability for Commercial Vehicles,” SAE Technical Paper Series, vol. 1, . View at Publisher · View at Google Scholar
  • Davi Silva Rodrigues, Márcio Eduardo Delamaro, Cléber Gimenez Corrêa, and Fátima L. S. Nunes, “Using Genetic Algorithms in Test Data Generation,” ACM Computing Surveys, vol. 51, no. 2, pp. 1–23, 2018. View at Publisher · View at Google Scholar
  • Almudena Diaz Zayas, Janie Banos, Pedro Merino, Andrea F. Cattoni, Carlos Cardenas, Oscar Castaneda, and Michael Dieudonne, “TRIANGLE: A Platform to Validate 5G KPIs in End to End scenarios,” IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD, vol. 2018-, 2018. View at Publisher · View at Google Scholar