Nvidia CEO Jensen Huang speaks during a press conference at The MGM during CES 2018 in Las Vegas on ... [+]
It’s the beginning of spring and that means that it’s again time for Nvidia’s GPU Technology Conference (GTC). As it has been since the onset of the pandemic in 2020, the spring 2023 GTC is an online virtual conference and absolutely free for all to check out (register at Nvidia.com). Over the past decade, Nvidia has been consistently ramping up its efforts in the automotive industry as it seeks to expand the market for its chips beyond powering video games.
Nvidia’s first foray into the automotive space was with Tegra systems-on-chip (SoCs) that powered infotainment systems. Those early display audio and navigation systems have significantly expanded in scope to the point that they are now frequently referred to as in-car digital user experiences. That is just one of the topics among the dozens of automotive and transportation related sessions at GTC this year. Since we increasingly use our voices to control aspects of our vehicles, one of the features sessions in user experience this year is titled Key Learnings From the Jaguar Land Rover Natural Language Processing Development Journey presented by Liz Metcalfe-Williams, Otto Fitske and James Earle from JLR.
As usual the conference kicks off in earnest with a keynote address from CEO Jensen Huang at 8am PDT on March 21, 2023 (Nvidia.com/GTC/keynote). Huang will be highlighting the progress of Nvidia and its customers and partners in all of the different areas where the company’s technology is being used including cloud computing, energy, health research, super computing and of course on the road.
The Nvidia Drive IX software stack which enables modern user experiences is just one piece of the larger Nvidia Drive platform.
Probably the best known is Drive Hyperion, the reference platform for assisted and automated driving. During its recent MB.OS presentation, Mercedes-Benz announced an expanded use of Drive Hyperion on its upcoming models beyond 2025. It has grown from a basic set of drivers and perception algorithms to a full automated driving system that automakers can use in its entirety or they can integrate subsystems with their own software.
Japan's automaker Fuji Heavy Industries, known as Subaru, unveils its new "EyeSight" safety driving ... [+]
Toru Saito, deputy chief of Subaru Lab will be presenting Improving Road Safety With AI-Based Stereo-Camera Object Detection. Subaru has been a leader in using stereoscopic camera perception for its advanced driver assistance systems (ADAS). The Subaru Eyesight system utilizes dual cameras facing the same direction to provide accurate depth perception without relying on inference or active sensors like radar or lidar. However, knowing where objects are in physical space relative to the vehicle is just one piece of the ADAS puzzle. Saito will discuss how Subaru is using artificial intelligence (AI) to enhance the classification capabilities of Eyesight. Knowing what or who is around the vehicle enables the system to make better decisions about how to assist the driver and enhance safety.
Rimac Automobili made electric supercars Concept One and Concept are displayed before arrival of the ... [+]
Rimac Technology has become renowned for creating incredibly high performance electric supercars. Safely utilizing that performance capability on a track requires a level of driving skill and experience that few drivers have. Sacha Vražić, director of autonomous driving R&D at Rimac Technology will discuss the driver coaching system they’ve developed in From Tortoise to Hare: How AI Can Turn Any Driver into a Race Car Driver.
Enabling modern automated driving systems, user experiences and over-the-air software updates requires a whole new generation of electrical/electronic (E/E) architectures for vehicles. Tom Xie, vice president of Zeekr, the new electric vehicle brand from China’s Geely Group will present on Reinventing Electronic Architecture for Software-Defined Vehicles.
There are many more automotive related topics including building HD maps, simulation including creating synthetic data for testing, and the industrial metaverse. Free registration and the full session catalog for Spring 2023 GTC is available now at Nvidia.com.
