Researchers have proposed a personalized longitudinal motion planning policy for intelligent vehicles that combines reinforcement learning with imitation learning. The approach is designed to reduce ...

Autonomous vehicle control and motion planning encompasses a diverse suite of methodologies that enable vehicles to navigate complex environments safely and efficiently. This rapidly evolving field ...

A self-driving car moves through traffic one moment at a time. A bus blocks part of the road. Rain throws reflections across ...

This study presents KEPT, an AI system that helps self-driving cars predict their own short-term path more safely by combining video understanding ...

A new planning method called KEPT lets self-driving cars compare what they are seeing now with similar past traffic situation ...

This study presents KEPT, an AI system that helps self-driving cars predict their own short-term path more safely by ...

AI is often described as the most transformative technology of the century, and while it has already reshaped many aspects of life, from scientific discovery to waging war, hype and over-promising ...

Tesla's Full Self-Driving(FSD) system represents a major leap in self-driving car technology, combining eight high-resolution cameras, radar, and ultrasonic sensors with powerful neural networks.

The mobility sector is rapidly evolving towards higher levels of autonomous driving that could enhance safety, performance, and the overall user experience. Robotaxis are leading the autonomy push for ...

Tesla's FSD (Supervised) feature is one of the most advanced semi-autonomous driving features available. FSD (Supervised) is trained on the cumulative driving experience of all Tesla EVs that use the ...

As a Premium Member, NATIX will provide large-scale multi-camera driving data to support Autoware’s open-source end-to-end autonomous driving stack NATIX Network, a decentralized multi-camera data ...