Waymo unveiled a generative simulation model Thursday that uses Google DeepMind’s Genie 3 to create hyper-realistic driving scenarios. The system generates scenarios from elephant encounters to ...

Abstract: In this paper, we present a deep-reinforcement learning(RL) approach to autonomous driving in a simulated environment, supported by a carefully crafted reward function. Using Unity's ...

GUANGZHOU, China, Jan. 27, 2026 (GLOBE NEWSWIRE) -- WeRide (NASDAQ: WRD, HKEX: 0800), a global leader in autonomous driving technology, today announced the launch of WeRide GENESIS 1, its proprietary ...

Graz University of Technology (TU Graz) and mobility technology company Magna have unveiled one of Europe’s most advanced driving simulators. The facility sits inside the new Advanced Driving ...

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 ...

Guidehouse, which was established following a spin-off from PwC's public sector and advisory practice, is a global consulting firm. Since 2015, Guidehouse has published the world's only comprehensive ...

Sensor fusion combines multiple sensing modalities to improve environmental perception, obstacle avoidance, and safety in autonomous systems. AI-enabled vision and 3D depth sensing are revolutionizing ...

CES 2026 has become a muscle-flexing arena for advanced autonomous driving. Nvidia's CEO, Jensen Huang, used the stage to unveil a new "Vision-Language-Action" (VLA) model, Alpamayo 1. The system is ...

Vehicle platooning, first studied as an application of Intelligent Transportation Systems (ITS), is increasingly gaining attention in recent years as autonomous driving and connected vehicle ...

Abstract: Autonomous driving at unsignalized intersections is still considered a challenging application for machine learning due to the complications associated with handling complex multi-agent ...

Polymers are a versatile class of materials with widespread industrial applications. Advanced computational tools could revolutionize their design, but their complex, multi-scale nature poses ...