Andy Xiao

Dr Xiao serves as the product technical manager and Valeo expert in AI at Valeo in San Mateo, California, where he leads a team specializing in machine learning within the R&D department of the Comfort Driving Assistance Systems (CDA) Product Group. He earned his PhD from the University of Cincinnati in 2015, with a focus on computer vision and machine learning. He has 10 years of R&D experience in ADAS and AD. He is also an adjunct professor at San Jose State University and an industrial consultant for a National Highway Traffic Safety Administration project in collaboration with Virginia Tech.

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Presentation

Enhance and enable Level 4 autonomous parking with Real-time HD Semantic Map solutions

The automotive industry is undergoing rapid transformation with the introduction of new vehicle architectures and software-defined vehicles, alongside advanced processing platforms. This shift creates a wealth of innovative data-driven opportunities. In this presentation, Dr Xiao will explore real-time HD semantic map solutions designed to enhance parking experiences and enable Level 4 autonomous parking systems. The solutions use low-cost sensors – surround-view cameras – to create sharable parking lot maps. These maps, stored in the cloud, provide real-time updates on parking spot availability and type (EV, handicapped, etc). Dr Xiao will explain how these advancements lead to smarter, more efficient parking solutions.