DRIVE

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
GIF of a traffic scenario.
Dec 18, 2023

Teaching AVs the Language of Human Driving Behavior with Trajeglish

Much of the communication between drivers goes beyond turn signals and brake lights. Motioning another car to proceed, looking over to see if another driver is...
5 MIN READ
Dec 05, 2023

Reconstructing Dynamic Driving Scenarios Using Self-Supervised Learning

From monotonous highways to routine neighborhood trips, driving is often uneventful. As a result, much of the training data for autonomous vehicle (AV)...
6 MIN READ
Nov 28, 2023

Simulating Realistic Traffic Behavior with a Bi-Level Imitation Learning AI Model

From last-minute cut-ins to impromptu U-turns, human drivers can be incredibly unpredictable. This unpredictability stems from the complex nature of human...
5 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
Image of Omniverse Kit examples
Sep 27, 2023

Free Course: Essentials of Developing Omniverse Kit Applications

Take this free self-paced course to learn how to leverage NVIDIA Omniverse Kit to easily build apps on the Omniverse platform.
1 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
A still view of a lidar point cloud in a driving scene generated by neural lidar fields.
Jul 27, 2023

Sensing New Frontiers with Neural Lidar Fields for Autonomous Vehicle Simulation

Autonomous vehicle (AV) development requires massive amounts of sensor data for perception development. Developers typically get this data from two...
6 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
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
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