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

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 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