Ching-Yi Chen

Ching-Yi Chen has expertise in connected and autonomous vehicle (CAV) validation and verification (V&V) and safety assurance. Her extensive experience encompasses aspects including planning and conducting CAV trials in real-world settings, deploying and monitoring vehicle-to-everything (V2X) communication infrastructure and assessing the performance of CAV perception systems. Chen's previous projects have been diverse, involving remote operation and automated driving trials, benchmarking CAV sensor precision systems and the use of synthetic data analytics for enhancing simulation representativeness in the automotive consulting domain.

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Presentation

CAV in-use monitoring metrics development

The presentation will focus on developing comprehensive safety metrics for real-time monitoring of connected and automated vehicles (CAVs). This monitoring ensures the operational safety of CAV systems and infrastructure in automated driving, remote operation and advanced driver assistance system (ADAS) use cases. These metrics align with international safety assurance frameworks and standards for global relevance. Emphasis will be on detailed assessment methodologies to evaluate vehicle system and infrastructure performance. This critical approach feeds into the validation and verification of CAV safety arguments, facilitating safe and secure deployment.