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This presentation explores sunnypilot, an open-source advanced driver assistance system that offers a compelling alternative to proprietary solutions. As a community-driven fork of openpilot, sunnypilot demonstrates how collaborative development can democratize cutting-edge vehicle automation technology. The seminar covers the system’s technical architecture—from vision-based perception to vehicle control—and explains how new cars are added through reverse engineering of CAN bus signals. We’ll examine the broader implications for transportation research, including access to anonymized driving datasets, a platform for testing new algorithms, and potential impacts on transportation safety and efficiency. By exploring both technical foundations and practical applications, this talk highlights how open-source development is reshaping automated driving technology and creating unique research opportunities not possible with closed commercial systems.