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

January 18, 2020

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See the Light: DNN-based Perception for Automatic High Beam Control

AI can now make it easier for cars to see in the dark, while ensuring other vehicles won’t be blinded by the light. … Read more

January 18, 2020

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NVIDIA DRIVE 10.0 Now Available

DRIVE Software 10.0 brings advanced perception capabilities and new sensor functionalities to the NVIDIA autonomous vehicle software stack. … Read more

October 3, 2019

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How DRIVE AGX, CUDA and TensorRT Achieve Fast, Accurate Autonomous Vehicle Perception

With the CUDA toolkit and TensorRT inference runtime, autonomous vehicles running on the NVIDIA DRIVE AGX platform can achieve the critical latency requirements for autonomous driving. … Read more

Category Archives: Autonomous Vehicles

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

See the Light: DNN-based Perception for Automatic High Beam Control

NVIDIA DRIVE 10.0 Now Available

How DRIVE AGX, CUDA and TensorRT Achieve Fast, Accurate Autonomous Vehicle Perception

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