Driving Confidence
We’re building fully driverless vehicles that can easily be integrated into mobility networks for autonomous ride-hail and delivery services. Not only are we developing safe and smart driverless technology, but also an experience that passengers will enjoy using for everyday transportation and delivery solutions.
News
& Insights
Why an Exceptional Coach is Needed for Autonomous Vehicles
At Motional, we have a rigorous, multifaceted training curriculum, including supervised, unsupervised and reinforcement learning in simulated environments, ensuring our vehicles are prepared for what they will encounter on the roads. Learn more how we train our autonomous driving system from Motional's President and CEO Laura Major.
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Why is Behavior Prediction Important for Autonomous Driving?
Prediction is the ability to accurately reason a driving environment and anticipate the behavior of other road users. This technical blog covers Motional's approach to prediction, and how scaling up our behavior prediction network has been a major part of our vision to develop Large Driving Models (LDMs) that support globally scalable autonomous driving.
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How Motional is Accelerating Scale, Affordability and Safety with Large Driving Models (LDMs)
Hear from Motional's President and CEO Laura Major on how we're leveraging the latest breakthroughs in embodied AI and foundation models to develop safe autonomous technology that can effectively scale across cities.
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Technical Speaking: Omnitag, ML-Powered Multimodal Data Mining Framework
In this blog post, we introduce Omnitag, an ML-Powered Multimodal Data Mining Framework that transforms the "dark matter" of autonomy into refined, ready-to-use fuel for next-generation AVs.