DRIVE

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

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

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

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