DRIVE

Oct 28, 2025

Accelerating AV Simulation with Neural Reconstruction and World Foundation Models

Autonomous vehicle (AV) stacks are evolving from a hierarchy of discrete building blocks to end-to-end architectures built on foundation models. This transition...
8 MIN READ
Sep 03, 2025

Accelerate Autonomous Vehicle Development with the NVIDIA DRIVE AGX Thor Developer Kit

Autonomous vehicle (AV) technology is rapidly evolving, fueled by ever-larger and more complex AI models deployed at the edge. Modern vehicles now require not...
8 MIN READ
A GIF showing autonomous vehicles.
Jun 11, 2025

Simplify End-to-End Autonomous Vehicle Development with New NVIDIA Cosmos World Foundation Models

The shift to end-to-end planning models for powering autonomous vehicles (AVs) is increasing the demand for high-quality, physically-based sensor data. These...
7 MIN READ
Mar 10, 2025

Streamline LLM Deployment for Autonomous Vehicle Applications with NVIDIA DriveOS LLM SDK

Large language models (LLMs) have shown remarkable generalization capabilities in natural language processing (NLP). They are used in a wide range of...
7 MIN READ
Jan 09, 2025

Advancing Physical AI with NVIDIA Cosmos World Foundation Model Platform

As robotics and autonomous vehicles advance, accelerating development of physical AI—which enables autonomous machines to perceive, understand, and perform...
14 MIN READ
Image of a car speeding on a road in the sunshine.
Oct 23, 2024

Optimizing the CV Pipeline in Automotive Vehicle Development Using the PVA Engine

In the field of automotive vehicle software development, more large-scale AI models are being integrated into autonomous vehicles. The models range from vision...
16 MIN READ
Jan 29, 2024

Emulating the Attention Mechanism in Transformer Models with a Fully Convolutional Network

The past decade has seen a remarkable surge in the adoption of deep learning techniques for computer vision (CV) tasks. Convolutional neural networks (CNNs)...
13 MIN READ
Using Synthetic Data to Address Novel Viewpoints for AV Perception
Nov 13, 2023

Using Synthetic Data to Address Novel Viewpoints for Autonomous Vehicle Perception

Autonomous vehicles (AV) come in all shapes and sizes, ranging from small passenger cars to multi-axle semi-trucks. However, a perception algorithm deployed on...
7 MIN READ
Sep 26, 2023

Validating NVIDIA DRIVE Sim Radar Models

Sensor simulation is a critical tool to address the gaps in real-world data for autonomous vehicle (AV) development. However, it is only effective if sensor...
15 MIN READ
Aug 31, 2023

Deploying YOLOv5 on NVIDIA Jetson Orin with cuDLA: Quantization-Aware Training to Inference

NVIDIA Jetson Orin is the best-in-class embedded platform for AI workloads. One of the key components of the Orin platform is the second-generation Deep...
11 MIN READ
Image of a car backing into a parking spot using object perception.
Jul 12, 2023

Near-Range Obstacle Perception with Early Grid Fusion

Automatic parking assist must overcome some unique challenges when perceiving obstacles. An ego vehicle contains sensors that perceive the environment around...
5 MIN READ
May 18, 2023

Bringing Far-Field Objects into Focus with Synthetic Data for Camera-Based AV Perception

Detecting far-field objects, such as vehicles that are more than 100 m away, is fundamental for automated driving systems to maneuver safely while operating on...
7 MIN READ
Mar 15, 2023

Running Docker Containers Directly on NVIDIA DRIVE AGX Orin

NVIDIA DRIVE OS host-side Docker containers on NGC provide a quick and easy alternative to installing Debian packages to set up NVIDIA DRIVE OS on a host...
6 MIN READ
DNN input
Mar 13, 2023

Detecting Obstacles and Drivable Free Space with RadarNet

Detecting drivable free space is a critical component of advanced driver assistance systems (ADAS) and autonomous vehicle (AV) perception. Obstacle detection is...
6 MIN READ
A gif showing cars on a street with potential collision
Feb 23, 2023

Generating AI-Based Potential Accident Scenarios for Autonomous Vehicles

Autonomous vehicles (AVs) must be able to safely handle any type of traffic scenario that could be encountered in the real world. This includes hazardous...
4 MIN READ
Jan 20, 2023

Validating NVIDIA DRIVE Sim Lidar Models

Autonomous vehicle development is all about scale. Engineers must collect and label massive amounts of data to train self-driving neural networks.  This...
2 MIN READ