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The head of NVIDIA believes that by 2030 the most widespread cars with autonomy of the second level
17.01.2021 [09:07],
Alexey Razin

At the dawn of the development of autonomous vehicle control systems, NVIDIA CEO Jen-Hsun Huang was quite optimistic about the timing of the appearance of fully automatic vehicles. Now he has changed his rhetoric, claiming the dominance of private cars with a level of autonomy no higher than second by the end of this decade.

Image source: Automotive News Europe

An interview with the founder of NVIDIA on the pages of Automotive News Europe makes it clear that the company’s CEO is now soberly looking at the prospects for the use of cars with the highest, fifth level of autonomy. Machines without the possibility of switching to manual control will be able to be used in closed areas, where they will intersect trajectories only with their own kind, according to Jensen Huang. According to him, robots are not opposed to moving at a low speed, since they have nowhere to rush, unlike drivers, and it would be better to separate them along different roads.

This does not negate the widespread use of cars with a level of autonomy up to and including the second, as explained by the head of NVIDIA. By the end of the decade, about 20% of the entire vehicle fleet will have functions of high autonomy; it is these vehicles that will provide up to half of the total mileage. Automation does not need a break for sleep or rest, robotic machines can work almost without stopping.

Jen-Hsun Huang also said that the main factor in the attractiveness of electric vehicles is not even their minimal impact on the environment. They simply give owners a new driving experience, more pleasant than ICE-based cars. Electric cars do not make noise, do not exude unpleasant odors, they are more dynamic in acceleration, and you can charge them in the garage or at home.

The cars of the future will become a mobile device that will know a lot about the habits and preferences of their owner. Owners’ costs for software will also increase. According to Huang, automakers may well sell cars at cost and then make money on software. As noted earlier, for the entire period of operation of the machine, the user can pay for the software the same amount that he paid when buying the vehicle itself.