It's often the worst part of many people's day—bottlenecked, rush-hour traffic. When the daily commute backs up, drivers lose time, burn fuel and waste energy. Researchers at the U.S. Department of ...

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 ...

Abstract: Reinforcement Learning (RL) is increasingly used in autonomous driving (AD) and shows clear advantages. However, most RL-based AD methods overlook policy structure design. An RL policy that ...

Abstract: Adversarial Machine Learning (AML), particularly model poisoning, presents a critical threat to Autonomous Vehicles (AVs) in the Internet of Vehicles (IoV) environment. To address this ...

Learn how to build a 3D solar system simulation using Python! This tutorial guides you through coding planetary motion, visualizing orbits, and creating an interactive model of our solar system.

NVIDIA researchers demonstrate how adversarial image attacks can manipulate vision language models, turning traffic light recognition from 'stop' to 'go' with imperceptible changes. NVIDIA researchers ...

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 ...

SIMply is an open-source python tool for simulating physically realistic images. SIMply is designed primarily to support the development of spaceborne cameras by providing a simple and accessible ...

Traffic simulation is an effective tool for urban planners, traffic engineers, and researchers to study traffic. In particular, microscopic traffic simulation, which simulates individual vehicles’ ...

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 ...