DEVELOPER BLOG

Tag: NVIDIA DRIVE

Autonomous Vehicles

Fast-Track ADAS and AV Research with NVIDIA DRIVE AGX

Driver assistance technology is an incredibly active research domain – from supervised assistance functions all the way to fully autonomous driving. 4 MIN READ
Autonomous Vehicles

Cross-Compiling Robot Operating System Nodes for NVIDIA DRIVE AGX

The Robot Operating System (ROS) is an extremely popular middleware used by roboticists and autonomous vehicle researchers around the globe. It offers a great… 4 MIN READ
Autonomous Vehicles

How to Optimize Self-Driving DNNs with TensorRT

Register for our upcoming webinar to learn how to use TensorRT to optimize autonomous driving DNNs for robust AV development. 2 MIN READ
Autonomous Vehicles

New DRIVE OS and DriveWorks Updates Enable Streamlined AV Software Development

DRIVE OS and DriveWorks releases are now available on NVIDIA DRIVE Developer, providing DRIVE OS users access to DriveWorks middleware and even more updates. 4 MIN READ
Autonomous Vehicles

Sharing CUDA Resources Through Interoperability with NvSciBuf and NvSciSync

Figure 1. Various hardware engines on the NVIDIA embedded platform. There is a growing need among embedded and HPC applications to share resources and control… 13 MIN READ
AI / Deep Learning

Building AI Infrastructure with NVIDIA DGX A100 for Autonomous Vehicles

Autonomous vehicles (AV) are transforming the way we live, work, and play—creating safer and more efficient roads. In the future, every vehicle may be… 14 MIN READ