NVIDIA defines self-driving electric cars with software

EV Magazine revisits NVIDIA’s DRIVE solution following an interview with Tim Wong, who explained what the self-driven electric car future looks like

Autonomy is the next major innovation in technology, which utilises decades of advances in artificial intelligence (AI) and machine learning. Some of the intuitive vehicles are now on the roads and are capable of seeing more than the human eye. 

As a result of this shift, automotive manufacturers are now developing electric vehicles (EVs) with proprietary systems that are powered by more technology—from advanced driver assistance systems (ADAS) to fully autonomous capabilities. Digital is taking over the sector and EV makers are starting to look a lot like technology firms. 

The current trend that encompasses connectivity and AI-driven systems is ‘connected car’, which incorporates vehicle technologies and surrounding components of transportation infrastructure. 

In one of our previous magazine issues, we spoke to NVIDIA about self-driving cars and how they will fit into the transport ecosystem of the future, because the natural progression for automakers is to eliminate the need for drivers to…drive. 

This cannot be achieved without some of the latest technologies, which NVIDIA is a trusted provider of, including AI Infrastructure, Self-Driving Platform, Production-Ready AV Platform, and Intelligent Assistants. 

Building a more intelligent EV and infrastructure collaboration

With more demand for connectivity in cars comes the need for high-efficiency and computing power, which is where NVIDIA DRIVE Infrastructure supports data centre applications. As the provider of both software and hardware, the company is delivering more capacity to store usable raw data from autonomous driving. NVIDIA provides end-to-end building blocks required for neural network training, development, and testing. 

Two solutions in this area include the DGX SuperPOD—an AI data-centre system that supports organisations in seamlessly acquiring data—and the LaunchPad, which is an enterprise platform built to power AI initiatives with speed and modern, data-driven applications. 

Simulation is a key part of NVIDIA’s offering as it supports initial testing of autonomous systems. The DRIVE Sim allows virtual fleets to drive millions of miles to acquire data from a number of scenarios, feeding self-driving computers with information on millions of different data points. 

NVIDIA DRIVE Hyperion: A production-ready AV

As the chosen provider of autonomous vehicle (AV) systems for Volvo, SAIC, and Amazon’s Zoox, NVIDIA provides its DRIVE Hyperion, which is a purpose-built platform for an autonomous vehicle to facilitate testing, development and data validation. 

To learn more about self-driving vehicles and how NVIDIA is backing the next generation of automotive, we previously spoke to its Technical Marketing for Automotive Vehicles lead, Tim Wong, who explained his sentiments towards the movement and how the company will support a new era of automotive


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