DRIVE

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 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 Active Sensors in NVIDIA DRIVE Sim

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 09, 2023

Explainer: What Is Edge Computing?

Edge computing is the practice of processing data physically closer to its source.

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

Jan 04, 2023

Upcoming Webinar: Transforming Transportation with the Metaverse and AI

Learn how NVIDIA Omniverse and NVIDIA DRIVE Sim are used to create digital twin environments to train, test, and validate autonomous driving systems.

1 MIN READ

Dec 21, 2022

Explainer: What Is an AI Cockpit?

Intelligent interiors are transforming transportation.

1 MIN READ

Dec 14, 2022

Explainer: What Is MLOps?

Machine learning operations, MLOps, are best practices for businesses to run AI successfully with help from an expanding smorgasbord of software products and...

1 MIN READ

Dec 12, 2022

Explainer: What Is Computer Vision?

Computer vision is achieved with convolutional neural networks that can use images and video to perform segmentation, classification and detection for many...

1 MIN READ

Dec 09, 2022

Explainer: What Is an Autonomous Truck?

Autonomous trucks are commercial vehicles that use AI to automate everything from shipping yard operations to long-haul deliveries.

1 MIN READ

Oct 28, 2022

Getting to Know Autonomous Vehicles

The future is autonomous, and AI is already transforming the transportation industry. But what exactly is an autonomous vehicle and how does it work? Autonomous...

5 MIN READ

Sep 21, 2022

New Languages, Enhanced Cybersecurity, and Medical AI Frameworks Unveiled at GTC

At GTC 2022, NVIDIA introduced enhancements to AI frameworks for building real-time speech AI applications, designing high-performing recommenders at scale,...

11 MIN READ

Sep 21, 2022

New Cloud Applications, SimReady Assets, and Tools for NVIDIA Omniverse Developers Announced at GTC

Developers, creators, and enterprises around the world are using NVIDIA Omniverse to build virtual worlds and push the boundaries of the metaverse. Based on...

10 MIN READ