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Siddartha Khastgir

Siddartha Khastgir is the Head of Verification & Validation for Connected & Autonomous Vehicles (CAV) at WMG, University of Warwick. He leads several collaborative R&D projects with industrial and academic partners nationally and internationally. His research focuses on generating safety evidence and arguments, test scenario generation, simulation-based testing, and safety of AI systems. Leveraging the cross-domain nature of safety, he is also involved in safety research in aviation, marine and healthcare. Siddartha is an active member of various national and international standardisation and regulatory groups, including ISO, SAE and ASAM. Currently, he represents the UK on several ISO technical committees and is the lead author for two new ISO standards for aspects of automated driving systems. He sits on the United Nations Economic Commission for Europe (UNECE) committees on safety of automated driving. Prior to joining WMG, Siddartha was with FEV GmbH in Germany, leading automotive software development and testing for series production projects. He has received numerous national and international awards for his research contributions, including the prestigious UKRI Future Leaders Fellowship in 2019 focused on safety evaluation of CAVs.


Safety Pool Scenario Database: enabling an ODD-based testing framework for automated driving systems

This presentation describes how the Safety Pool Scenario Database (the world’s largest public scenario database for automated driving systems) can be used as part of an ODD-based (operational design domain) testing and certification framework. Catering to a variety of use cases in diverse ODDs, the Safety Pool Scenario Database will enable test engineers, developers, regulators and policy makers to seamlessly link ODD definition (which will be a prerequisite for AV regulation) with test scenarios and corresponding metrics for “safe enough”. Furthermore, being aligned to various international standards, the database enables interoperability for virtual verification and validation and real-world testing.