Katie Washabaugh

Simulated driving environments enable engineers to safely and efficiently train, test and validate autonomous vehicles (AVs) across countless real-world and edge-case scenarios without the risks and costs of physical testing…. Read Article

Autonomous vehicle (AV) stacks are evolving from many distinct models to a unified, end-to-end architecture that executes driving actions directly from sensor data. This transition to using larger models is… Read Article

Teaching autonomous robots and vehicles how to interact with the physical world requires vast amounts of high-quality data. To give researchers and developers a head start, NVIDIA is releasing a… Read Article

Generative AI and foundation models let autonomous machines generalize beyond the operational design domains on which they’ve been trained. Using new AI techniques such as tokenization and large language and… Read Article

The path to safe, widespread autonomous vehicles is going digital. MITRE — a government-sponsored nonprofit research organization — today announced its partnership with Mcity at the University of Michigan to… Read Article

To make transportation safer, autonomous vehicles (AVs) must have processes and underlying systems that meet the highest standards. NVIDIA DRIVE OS is the operating system for in-vehicle accelerated computing powered… Read Article

As the autonomous vehicle industry enters the next year, it will start navigating into even greater technology frontiers. Next-generation vehicles won’t just be defined by autonomous driving capabilities. Everything from… Read Article

Training, testing and validating autonomous vehicles requires a continuous pipeline — or data factory — to introduce new scenarios and refine deep neural networks. A key component of this process… Read Article

Meet the electric SUV with magnetic appeal. Lucid Group unveiled its next act, the Gravity SUV, during the AutoMobility Los Angeles auto show. The automaker also launched additional versions of… Read Article