12 August 2024  |  Engineering

OASISS ODD-based AI Safety in Self-Driving Systems

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Alex Kendall Co-founder & CEO of Wayve London

We set out to develop AV2.0: the next generation of autonomous driving.

At the same time as the autonomous driving industry was scaling this traditional robotics stack which typically relies on an expensive array of sensors and is operationally limited by HD maps and rules-based control strategies—a quiet revolution was happening in machine learning. From an early age, I have always had a fascination with creating machines which can benefit our world. I believe there is no greater challenge than building machines that can see and act. But today, AI only exists in the virtual world through software and apps, despite the well known fact, “We have a brain for one reason…to produce adaptable and complex movements.” It was clear to me that the next transformative step was to build embodied AI.

I firmly believe that to have impact you need to take a bet on what will be possible in the future, not rely on what is possible today.

Wayve began in a garage, developing a Driving Intelligence based on these ideas. The results were quickly promising. For the first time in the world, we showed a reinforcement learning system learning to drive a real-life autonomous vehicle from computer vision. In our first year we demonstrated model-free and model-based reinforcement learning driving our car, sim2real and more.

In five quick years we established the necessary ingredients to pioneer AV2.0: data, compute, partnerships, operations, and—most importantly—our team. We’ve solved the fundamental technical challenges and earned the right to build AV2.0 at scale.

Our vision—autonomy that propels the world forward—will launch society into the age of embodied intelligence. For the first time, we will see machines we trust physically interacting with our world, enriching people’s lives, freeing them to focus on what matters most. This will mark the beginning of a new era of technology that promises to be more transformative than any that came before it. We are excited to be pioneering the embodied intelligence to build autonomous technology that can adapt to the needs of people worldwide—starting with driving on roads.

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We will conduct a safety analysis based on the reference architecture (ISO/TS 5469) to develop a design rationale for a redundant safety architecture in AI-based systems and share safety recommendations for the industry.

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