The Digital Press

A new approach uses affordable dash-cams and open-source software to expand cooperative driving automation (CDA) across different vehicle types, improving traffic safety and flow. This method leverages low-cost communication protocols and locally deployed AI to enhance driving experiences while protecting privacy.

Why it matters: It makes advanced driving automation accessible and scalable without expensive sensors or proprietary systems.

The big picture: The system focuses on infrastructure-based applications to improve traffic management and societal benefits broadly.

Stunning stat: The approach uses commercially available dash-cams and edge devices rather than costly autonomous vehicle sensors.

Quick takeaway: Locally deployed edge AI models enhance driving while preserving privacy, unlike cloud-dependent solutions.