April 30, 2020

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New Software Enhancements for Intelligent Video Analytics and IoT

The pre-trained models and Transfer Learning Toolkit help data scientists, computer vision developers and software partners accelerate AI training. Developers can build highly accurate AI for several popular use cases using purpose-built models. … Read more

April 16, 2020

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How NVIDIA DriveWorks Makes It Easy to Perform Inference in Self-Driving Cars

On May 5, NVIDIA will host a webinar demonstrating how developers can take advantage of the NVIDIA DriveWorks SDK to perform inference for safer, more efficient self-driving. … Read more

April 5, 2020

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Latest Updates to NVIDIA CUDA-X AI Libraries

Learn what’s new in the latest releases of NVIDIA’s CUDA-X AI libraries and NGC. For more information on NVIDIA’s developer tools, join live webinars, training, and Connect with the Experts sessions now through GTC Digital. … Read more

March 25, 2020

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GTC Digital: Autonomous Vehicles Presentations, Demos, and Posters

AI is making transportation smarter, safer, and more efficient. Learn how industry experts are leveraging GPUs through assisted driving, roboshuttles, and connected infrastructure to address the world's greatest traffic problems. … Read more

March 11, 2020

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DRIVE Labs: How Multi-View LidarNet Presents Rich Perspective for Self-Driving Cars

This is the latest post in our NVIDIA DRIVE Labs series, which takes an engineering-focused look at individual autonomous vehicle challenges and how NVIDIA DRIVE addresses them. … Read more

March 10, 2020

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Meet the Researcher: Anna Choromanska, Optimizing Deep Learning Models for Autonomous Vehicles and Robotics

'Meet the Researcher' is a new series in which we spotlight different researchers in academia who are using GPUs to accelerate their work. In this first edition, we spotlight Anna Choromanska, an assistant professor at the New York University (NYU) Tandon School of Engineering and a recipient of the Alfred. P. Sloan Fellowship. … Read more

February 13, 2020

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Get the Inside Track on Building Self-Driving Cars at GTC DRIVE Developer Day

GTC is the place to experience what’s next for AI-powered transportation. And this year, NVIDIA DRIVE customers will get access to even more in-depth sessions on our own autonomous vehicle development process. … Read more

January 20, 2020

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DRIVE Labs: How Localization Helps Vehicles Find Their Way

Localization is a critical capability for autonomous vehicles, making it possible to pinpoint their location within centimeters inside a map. … Read more

January 18, 2020

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DRIVE Labs: Detecting Road Markings and Landmarks with High Precision

In this week’s DRIVE Labs, we present the evolution of LaneNet DNN, which delivers high-precision, stable detection of painted lane lines on the road, into our high-precision MapNet DNN. … Read more

January 18, 2020

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DRIVE Labs: Covering Every Angle with Surround Camera-Radar Fusion

For autonomous driving technology to advance beyond automated assisted driving, it must have reliable, 360-degree surround obstacle perception. … Read more

Category Archives: Autonomous Vehicles

New Software Enhancements for Intelligent Video Analytics and IoT

How NVIDIA DriveWorks Makes It Easy to Perform Inference in Self-Driving Cars

Latest Updates to NVIDIA CUDA-X AI Libraries

GTC Digital: Autonomous Vehicles Presentations, Demos, and Posters

DRIVE Labs: How Multi-View LidarNet Presents Rich Perspective for Self-Driving Cars

Get the Inside Track on Building Self-Driving Cars at GTC DRIVE Developer Day

DRIVE Labs: How Localization Helps Vehicles Find Their Way

DRIVE Labs: Detecting Road Markings and Landmarks with High Precision

DRIVE Labs: Covering Every Angle with Surround Camera-Radar Fusion

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