A | Computer Vision & AI Stream | Case Study
Monday, December 09
02:30 PM - 03:00 PM
Live in Dearborn, Michigan
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The development of robust operational and testing strategies is critical to ensure the safety, reliability, and scalability of AD systems. This talk provides an overview of the latest methodologies and technologies being implemented to test and validate AVs and emphasizes how these strategies are crucial for the successful deployment of AVs in diverse and unpredictable environments. Additionally, the challenges faced by the industry in standardizing these approaches across different regions and regulatory frameworks and how to address them effectively are demonstrated.
Sahil Potnis currently works as the Director of AV Performance at Motional. He is a dynamic professional with over 8 years of experience in E2E Systems Engineering, Functional Safety, and Testing of Autonomous Vehicles. He brings a cross-functional approach to problem-solving, combining Engineering Management, Systems Engineering, and Product Management to tackle next-gen challenges. His expertise extends to Software Quality Assurance/Control, Requirements Development, Business Intelligence, Operational Compliance, and Internal Tools Management. Sahil holds a Master of Engineering degree from Cornell University Graduate School in Electrical and Computer Engineering and has worked with notable companies such as Aurora and Uber.