Transportation

Autonomy will fundamentally change how the world moves. With the power of AI, private vehicles, car sharing and delivery services will become even safer and more efficient. Our goal is to develop innovative solutions that will enable the industry to realize these benefits even faster.

we make autonomous vehicles a reality in collaboration with numerous partners.
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Every year, 20 to 50 million people worldwide are injured in traffic accidents, resulting in property damage of no less than $518 billion.

More than 500 million hearing and visually impaired people and an increasingly aging global population must rely on others to get from A to B every day.

Commuters spend 200 hours a year behind the wheel - and that time could be much better spent working or playing or spending together with family.

Last-mile logistics, as the core sector for autonomous machines, is expected to become a $65 billion global industry and is forecast to grow even further with greater adoption of e-commerce.

Trucking and logistics are playing an increasingly important role in moving the world forward. More than 70 percent of all goods in the United States are transported by truck, and with the rise of e-commerce, the demand for efficient transportation continues to grow. The scalable DRIVE platform is designed to withstand the rigors of round-the-clock operations and prepare autonomous trucks for the long haul.

Self-driving robotaxis are complex supercomputers on wheels that require high-performance computing power and a unique end-to-end process for development, deployment, and continuous improvement. NVIDIA DRIVE provides comprehensive AI computing solutions for robotaxi development. They enable fully autonomous vehicles that process massive amounts of data and run redundant and diverse deep neural networks for safe operation.

The NVIDIA DRIVE Platform is a complete solution for highly automated, supervised driving. It can be configured with two NVIDIA DRIVE Orin™ Systems-on-a-Chip (SoCs) - one for active safety, automated driving and parking applications and one for AI cockpit functions - and scales from Level 2+ to higher autonomy levels.

The NVIDIA DRIVE™ platform can process data from up to 16 sensors simultaneously. This continuously creates critical data for a reliable training library for self-driving AI cars. Safe self-driving vehicles rely on vast amounts of collected and structured data from a wide variety of traffic scenarios and conditions. In this regard, the start-up Perceptive Automata predicts the movements of pedestrians using human behavior data with NVIDIA DRIVE.

NVIDIA® DGX™ data center systems open up the fastest way to securely deploy AI training deep learning models for autonomous driving with massive amounts of data. Zenuity makes software for self-driving cars and scales AI training infrastructure with DGX.

NVIDIA DRIVE Constellation™ enables essential simulation for training and continuous hardware validation of self-driving cars. Companies around the world are using DRIVE Constellation to develop rich, diversified data sets for robust simulation testing.

Autonomous vehicles on the NVIDIA Jetson™ platform are already automating last-mile logistics for groceries and other goods worldwide. E-commerce giants JD.com and Meituan recently selected NVIDIA Jetson AGX Xavier™ for their next-generation delivery robots.