Deepen AI and Autoware Foundation Team Up for Safer Autonomous Vehicles

Deepen AI, a leading provider of multi-sensor calibration and annotation solutions, proudly announces its collaboration with the Autoware Foundation, taking another step towards providing safe and reliable autonomous technology for all.

With a dedicated focus on safety-centric data lifecycle tools and services, Deepen AI's partnership with the Autoware Foundation is a joint effort aimed at fostering innovation and reliability within autonomous systems. By aligning expertise and resources, both entities aim to contribute to the responsible advancement of autonomous technology, leveraging Deepen AI's insights and innovative approaches alongside the Foundation's commitment to open-source development.

"This collaboration signifies a shared commitment to shaping the future of autonomous vehicles through responsible innovation," said Mohammad Musa, CEO and founder of Deepen AI. "By pooling our expertise, we aspire to contribute to the development of safer and more transparent autonomous technologies."

The Autoware Foundation stands as a key advocate in the field of autonomous driving technology, promoting collaborative development and open-source solutions. Deepen AI's inclusion within the Foundation underlines a joint dedication to enhancing the accessibility and safety of autonomous systems.

"Autoware champions the democratization of autonomous driving technology via open-source development, dedicated to fostering collaborations among leading technology companies, academic/non-profit organizations, and individual contributors. Open source minimizes entry barriers to autonomous driving technology, facilitating its commercial deployment across a diverse array of vehicles and applications" added Shinpei Kato, Chairman of the Board at Autoware Foundation

Deepen AI's collaboration with the Autoware Foundation is part of a broader commitment to safety within autonomous systems. One such initiative is Safety Pool. Developed in collaboration with WMG, University of Warwick, UK, and aligned with the World Economic Forum Safe Drive Initiative, Safety Pool acts as a collaborative framework. Its core objective is establishing standardized procedures and structures for transparent and certifiable safety evaluations of Automated Driving Systems (ADS).

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