Autonomous Vehicles 1

Detecting Objects in Point Clouds with NVIDIA CUDA-Pointpillars

Use long-range and high-precision data sets to achieve 3D object detection for perception, mapping, and localization algorithms. 4 MIN READ
A view from a camera model rendered in NVIDIA DRIVE Sim.
Autonomous Vehicles 0

Validating NVIDIA DRIVE Sim Camera Models

This post covers the validation of camera models in DRIVE Sim, assessing the performance elements, from rendering of the world scene to protocol simulation. 17 MIN READ
Autonomous Vehicles 1

NVIDIA Research Presents 20 Papers at NeurIPS 2021

At the forefront of AI innovation, NVIDIA continues to push the boundaries of technology in machine learning, self-driving cars, robotics, graphics, and more. 4 MIN READ
Autonomous Vehicles 1

Accelerating Inference Up to 6x Faster in PyTorch with Torch-TensorRT

Torch-TensorRT is a PyTorch integration for TensorRT inference optimizations on NVIDIA GPUs. With just one line of code, it speeds up performance up to 6x. 8 MIN READ
Autonomous Vehicles 0

GTC Wrapup: NVIDIA CEO Outlines Vision for Accelerated Computing, Data Center Architecture, AI, Robotics, Omniverse Avatars and Digital Twins in Keynote

Jensen Huang announces new technologies with the potential to transform multitrillion-dollar industries. < 1
Autonomous Vehicles 0

Advancing AI Sports Analytics Through the Data-Driven SKY ENGINE AI Platform and NVIDIA RTX

Learn how SKY ENGINE AI simulates rugby games to generate synthetic data to train sports analytics AI models. 11 MIN READ