Abstract: In the field of autonomous driving, safe and efficient decision-making through deep reinforcement learning remains a significant challenge. Existing methods often struggle to adapt to the ...

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 ...

The frequency of substance use, early age of initiation, and cannabis-related memory impairments are among the primary factors contributing to driving under the influence, according to a new analysis ...

Artificial intelligence ecosystems are becoming the cornerstone for building and growing telecom networks that will empower opportunities, achievements and growth for organizations of all sizes in ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

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 ...

Waymo is introducing the Waymo World Model, a frontier generative model that drives its next generation of autonomous driving simulation. The system is built on top of Genie 3, Google DeepMind’s ...

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 ...

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 ...

Generative diffusion models for end-to-end autonomous driving often suffer from mode collapse, tending to generate conservative and homogeneous behaviors. While DiffusionDrive employs predefined ...