Keynote Speaker-Testing of Autonomous Driving Systems: From Simulated to Real-world Environments
Abstract
Autonomous driving systems (ADS) require extensive testing to ensure safety, reliability, and robustness across a wide spectrum of operational conditions. This talk introduces the state of the art in testing and evaluation of ADS, with a particular focus on simulation-based techniques and the challenges of transferring results from simulation to real-world environments. We discuss approaches for scenario generation and performance assessment, as well as current limitations in realism, sensor modeling, and non-deterministic behavior. Finally, the talk explores emerging research directions, such as sim2real consistency analysis, uncertainty quantification, and AI-driven test generation
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