Automotive

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

Autonomous Vehicles, Automotive, Featured, TensorRT

Nadeem Mohammad, posted Apr 16 2020

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.

GTC Digital: Autonomous Vehicles Presentations, Demos, and Posters

Autonomous Vehicles, Automotive, Featured, GTC

Nadeem Mohammad, posted Mar 25 2020

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.

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

Autonomous Vehicles, Automotive, Drive PX, Featured

Nadeem Mohammad, posted Mar 11 2020

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.

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

AI / Deep Learning, Autonomous Machines, Autonomous Vehicles, Automotive, Developer Spotlight, Featured, Higher Education/Academia, Machine Learning & Artificial Intelligence

Nadeem Mohammad, posted Mar 10 2020

'Meet the Researcher' is a new series in which we spotlight different researchers in academia who are using GPUs to accelerate their work.

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

Autonomous Vehicles, Automotive, Drive PX, Featured

Nadeem Mohammad, posted Feb 13 2020

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.

DRIVE Labs: How Localization Helps Vehicles Find Their Way

Autonomous Vehicles, Automotive, Drive PX, Featured, Machine Learning & Artificial Intelligence

Nadeem Mohammad, posted Jan 20 2020

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

DRIVE Labs: Detecting Road Markings and Landmarks with High Precision

Autonomous Vehicles, Automotive, Computer Vision & Machine Vision, Drive PX, Image Processing, Image Recognition, Machine Learning & Artificial Intelligence

Nadeem Mohammad, posted Jan 18 2020

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.

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

Autonomous Vehicles, Automotive, Autonomous, Computer Vision & Machine Vision, Drive PX, Machine Learning & Artificial Intelligence

Nadeem Mohammad, posted Jan 18 2020

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

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

Autonomous Vehicles, Automotive, Autonomous, Drive PX, Featured, Image Processing, Image Recognition, Machine Learning & Artificial Intelligence

Nadeem Mohammad, posted Jan 18 2020

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

NVIDIA DRIVE 10.0 Now Available

Autonomous Vehicles, Automotive, Computer Vision & Machine Vision, Machine Learning & Artificial Intelligence

Nadeem Mohammad, posted Jan 18 2020

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