Sutarwala deep dives into the comprehensive validation processes essential for AVs, encompassing simulation, real-world testing, and continuous learning from operational data. He explains the latest methodologies and technologies that underpin the validation of AD systems, aiming to achieve the highest standards of safety and performance. Through case studies and practical examples, he explores the challenges and solutions in validating complex AI-driven systems in diverse driving environments.
- Discover the role of high-fidelity simulations for extensive scenario testing and risk assessment
- Learn about the integration of real-world testing protocols with simulated environments for comprehensive validation
- Find out how to leverage operational data from deployed vehicles to continuously refine and improve autonomous systems
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