Automotive / Transportation

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 01, 2023

Developing Smart City Traffic Management Systems with OpenUSD and Synthetic Data

Smart cities are the future of urban living. Yet they can present various challenges for city planners, most notably in the realm of transportation. To be...

7 MIN READ

Jun 12, 2023

Create High-Quality Computer Vision Applications with Superb AI Suite and NVIDIA TAO Toolkit

Data labeling and model training are consistently ranked as the most significant challenges teams face when building an AI/ML infrastructure. Both are essential...

15 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

Apr 19, 2023

How to Train a Defect Detection Model Using Synthetic Data with NVIDIA Omniverse Replicator

According to the American Society of Quality (ASQ), defects cost manufacturers nearly 20% of overall sales revenue. The products that we interact with on a...

9 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

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

Mar 07, 2023

Developing an End-to-End Auto Labeling Pipeline for Autonomous Vehicle Perception

Accurately annotated datasets are crucial for camera-based deep learning algorithms to perform autonomous vehicle perception. However, manually labeling data 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

A GIF showing an illustrated warehouse from a low view point with flashing lights and colors.

Feb 10, 2023

Top Synthetic Data Sessions at NVIDIA GTC 2023

Discover how 3D synthetic data generation is accelerating AI and simulation workflows.

1 MIN READ

Jan 30, 2023

Explainer: What Is AI Computing?

AI computing is the work of machine learning systems and software, sifting through mountains of data to reveal useful insights and generate new capabilities.

1 MIN READ

Jan 25, 2023

NVIDIA Jetson Project of the Month: An AI-Powered Autonomous Miniature Race Car Gets on Track

The 65th annual Daytona 500 will take place on February 19, 2023 and for many this elite NASCAR event is the pinnacle of the car racing world. For now, there...

5 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

Jan 12, 2023

Explainer: What’s the Difference Between Level 2 and Level 5 Autonomy?

To define the path to fully realized autonomy, the Society of Automotive Engineers (better known as SAE International) detailed six categories of...

1 MIN READ

Jan 10, 2023

Updated Course: Integrating Sensors with NVIDIA DRIVE

Learn how to integrate your sensor of choice for NVIDIA DRIVE. This updated self-paced course now uses DriveWorks 5.8 and includes lidar examples.

1 MIN READ

Jan 04, 2023

Explainer: What Is Active Learning?

Finding the right self-driving training data doesn’t have to take a swarm of human labelers.

1 MIN READ