May 26, 2022

Nvidia added two electric vehicle makers to its portfolio of automotive companies and leveraged the Drive Hyperion platform, a suite of computing and sensor tools that power automated driving capabilities in everything from personal cars to robotic axles and autonomous trucks.

Chinese automaker BYD and US automaker Lucid Motors, two companies that provide software-defined features such as smart parking and advanced driver assistance systems (ADAS), announced Tuesday at the Nvidia GTC AI Developer Conference, joining other OEMs who rely on Nvidia hardware. Software and computer solutions – companies such as GDU, Polestar, Le Auto, Neo, Xping, Volvo, Mercedes, Jaguar Land Rover and others.

Automakers compete for the attention of potential customers Promising features that make driving less dynamic and more like a game for spectators.The problem is that while many OEMs call themselves software-defined, many of them don’t have the resources to achieve a really low level of autonomy.

This is because the process of retrofitting a car with autonomous driving requires millions of miles of data to train machine learning algorithms, very sophisticated software that can collect sensor data and make decisions in real time, and has the necessary processing power. These capabilities go way beyond the average automaker, which is why OEMs are increasingly looking to companies like Intel, Qualcomm and Nvidia to develop and integrate the tools they need to keep up with today’s automotive market.

As a result, at least for Nvidia, the automotive pipeline will reach more than $11 billion over the next six years, up from $8 billion a year ago, according to Nvidia’s automotive VP Danny Shapiro. avi startup love deep As well as we’ll go Nvidia Drive also joined the Hyperion ecosystem this week, expanding Nvidia’s capabilities.

BYD will build its next-generation “new energy vehicle” on the Hyperion 8 architecture currently in production by early 2023, the company said Tuesday at an Nvidia conference. The company said it will only use the Drive Orin System-on-a-Chip (SoC) as the central computing and artificial engine for automated driving and intelligent cockpit functions. Reaching 254 trillion operations per second, Orin is designed to handle multiple simultaneous applications and deep neural networks in autonomous vehicles. BYD is yet to reveal any details, such as whether it will use Hyperion’s software or sensor configuration.

At the same conference, Lucid announced that its DreamDrive Pro ADAS is built on the Nvidia Drive platform. Every Lucid Air sedan on the road today has an Nvidia SoC integrated into Lucid’s ADAS, but the automaker still uses its in-house software stack, which relies on an array of 14 cameras, one lidar, five radars, and 12 ultrasonic sensors. Sensors and intelligent cab functions for automatic driving. Lucid plans to continue working with Nvidia on future products, but hasn’t released any details just yet.

By leveraging Nvidia’s hardware and architecture, these companies can expand their functionality as Nvidia enters a new generation with over-the-air software updates, the company says.

Nvidia said in a statement, “By starting with a programmable HPC architecture in Lucid Air, the automaker can take advantage of Nvidia’s drive scalability and always leverage the latest AI technology as it expands with more models.” .”,

Next generation Nvidia drive: Hyperion 9

Last November at the Nvidia Fall GTC event, Founder and CEO Jensen Huang has announced that the Hyperion 8 is available for purchase for the 2024 model year car.On Tuesday, Yi Huang announced the Hyperion 9 architecture for vehicles ready for delivery in 2026.

Hyperion 9 will have 14 cameras, nine radars, three lidars and 20 ultrasonic sensors which, as part of the sensor suite, will feature 12 cameras, nine radars, one lidar and 12 ultrasonic sensors.

“We get a very diverse and nonsensical view of everything that happens around the car,” Shapiro said in an interview with gaming-updates. “This is also made possible by Atlan. Our roadmap calls for something more than ORIN, so it will be a faster SoC to handle all the additional sensor data that will come.”

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