Autonomous Vehicle

Deepn AI and WEF Launch Global Data-Sharing Initiative to Enhance Safety of ADAS Systems and Autonomous Vehicles

The World Economic Forum and Deepen AI ,a Silicon Valley based startup providing cutting-edge tools for computer-vision based autonomous systems development, have launched a Global incentive-based brokerage of shared Driving Scenarios and safety data for safe Autonomous Driving Systems.

Named Safety Pool, the initiative aims gathering in one comprehensive database a vast and diverse set of Driving Scenarios and safety data coming from the major industry players developing ADAS systems and Autonomous Driving Technology. Data will be accessible by the members while an incentive scheme ensures the right value is taken and given by every Safety Pool™ participant, regardless of their size, level of funding, or years of operations.

According to Deepen, WEF and the first publicly announced Safety Pool pioneering members, sharing this data on such a large scale will generate tremendous positive externalities for the whole industry. Each individual company developing ADAS systems and Autonomous Driving technology will have the chance to tap into a massive, common and shared database of driving scenarios on which to train and validate their Machine Learning models. In this way, the overall safety of operations will drastically increase, accelerating time to deployment.

Safety Pool is also poised to become the data infrastructure on top of which regulators, policymakers, local, and federal governments worldwide can base their regulatory decisions exploiting a reliable, transparent and comprehensive set of safety data coming from real-world operations.

Source: Press Release

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