Julian Metzger

Julian holds an MSc in computer and communications technology from the University of Saarland. He began his professional journey at EDAG in 2012 as an embedded software developer. Over the years, he advanced to project lead and team leader. Currently, he serves as project manager and competency lead for test innovation in the integration and validation division, where he drives the development and implementation of innovative testing strategies.

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Presentation

EDAG EDlight – AI-based testing of light functions

Manual end-to-end testing of light functions in HIL systems or vehicles is a time-consuming task. The increasing complexity of light functions, such as adaptive driving beams, escalates testing efforts and the number of test cases. To address this challenge, Edag developed an innovative tool called EDlight. The core feature of EDlight is an AI-based image detection and classification system that enables fully automated testing of light functions. The test automation controls the lights, while a video camera captures the frames as input for the AI. After detecting the current state and ground truth, an automated report is generated.