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DeepScenario: An Open Driving Scenario Dataset for Autonomous Driving System Testing.

, , and . MSR, page 52-56. IEEE, (2023)

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Test Scenario Generation for Autonomous Driving Systems with Reinforcement Learning.. ICSE Companion, page 317-319. IEEE, (2023)Reality Bites: Assessing the Realism of Driving Scenarios with Large Language Models., , , , and . FORGE, page 40-51. ACM, (2024)EvoCLINICAL: Evolving Cyber-Cyber Digital Twin with Active Transfer Learning for Automated Cancer Registry System., , , , , and . ESEC/SIGSOFT FSE, page 1973-1984. ACM, (2023)DeepQTest: Testing Autonomous Driving Systems with Reinforcement Learning and Real-world Weather Data., , , and . CoRR, (2023)Evolutionary Computation and Reinforcement Learning for Cyber-physical System Design.. ICSE Companion, page 264-266. IEEE, (2023)Search-Based Selection and Prioritization of Test Scenarios for Autonomous Driving Systems., , , and . SSBSE, volume 12914 of Lecture Notes in Computer Science, page 41-55. Springer, (2021)Restricted Natural Language and Model-based Adaptive Test Generation for Autonomous Driving., , , , , and . MoDELS, page 101-111. IEEE, (2021)Enhancing the realism of autonomous driving simulation with real-time co-simulation., , , , and . MoDELS (Companion), page 659-667. ACM, (2022)DeepScenario: An Open Driving Scenario Dataset for Autonomous Driving System Testing., , and . MSR, page 52-56. IEEE, (2023)Web-aided data set expansion in deep learning: evaluating trainable activation functions in ResNet for improved image classification., , , , , and . Int. J. Web Inf. Syst., 20 (4): 452-469 (2024)