TY - GEN
T1 - Functional gradient descent optimization for automatic test case generation for vehicle controllers
AU - Tuncali, Cumhur Erkan
AU - Yaghoubi, Shakiba
AU - Pavlic, Theodore
AU - Fainekos, Georgios
N1 - Funding Information:
This work has been partially supported by awards NSF CNS 1446730, NSF CNS 1319560, NSF CNS 1350420, NSF IIP-1361926, and the NSF I/UCRC Center for Embedded Systems.
Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/1
Y1 - 2017/7/1
N2 - A hierarchical framework is proposed for improving the automatic test case generation process for high-fidelity models with long execution times. The framework incorporates related low-fidelity models for which certain properties can be analytically or computationally evaluated with provable guarantees (e.g., gradients of safety or performance metrics). The low-fidelity models drive the test case generation process for the high-fidelity models. The proposed framework is demonstrated on a model of a vehicle with Full Range Adaptive Cruise Control with Collision Avoidance (FRACC), for which it generates more challenging test cases on average compared to test cases generated using Simulated Annealing.
AB - A hierarchical framework is proposed for improving the automatic test case generation process for high-fidelity models with long execution times. The framework incorporates related low-fidelity models for which certain properties can be analytically or computationally evaluated with provable guarantees (e.g., gradients of safety or performance metrics). The low-fidelity models drive the test case generation process for the high-fidelity models. The proposed framework is demonstrated on a model of a vehicle with Full Range Adaptive Cruise Control with Collision Avoidance (FRACC), for which it generates more challenging test cases on average compared to test cases generated using Simulated Annealing.
UR - http://www.scopus.com/inward/record.url?scp=85044973275&partnerID=8YFLogxK
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U2 - 10.1109/COASE.2017.8256245
DO - 10.1109/COASE.2017.8256245
M3 - Conference contribution
AN - SCOPUS:85044973275
T3 - IEEE International Conference on Automation Science and Engineering
SP - 1059
EP - 1064
BT - 2017 13th IEEE Conference on Automation Science and Engineering, CASE 2017
PB - IEEE Computer Society
T2 - 13th IEEE Conference on Automation Science and Engineering, CASE 2017
Y2 - 20 August 2017 through 23 August 2017
ER -