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Everything You Need to Know About Autonomous Vehicles

Published

7 years ago

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Believe it or not, autonomous vehicles have been many decades in the making.

Even in 1939, General Motors had an exhibit called “Futurama” at the New York World’s Fair that presented a model of the world 20 years in the future. Central to this display was a system of automated highways and vast suburbs, with a focus on how automation could reduce traffic congestion and lead to the free-flowing movement of people and goods.

Since then, many autonomous vehicle concepts have popped up at various times – but they have always fell short due to technical limitations. Only recently, due to advances in technology, have self-driving cars been able to overcome three primary engineering challenges: sensing the surrounding environment, processing information, and reacting to that environment.

Today, the future for autonomous vehicles is bright, and it is expected that there will be millions of self-driving cars on the road by 2035, creating a multi-billion dollar market.

Autonomous Vehicles: What You Need To Know

The following infographic comes to us from Get Off Road, and it shows the history of autonomous vehicles, how they work, the technical challenges overcome so far, and what the near-future of driverless cars may look like.

Autonomous Vehicles Infographic

Want to learn more about autonomous vehicles?

Here’s six problems that driverless cars must solve before they go mainstream.

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Visualizing AI Patents by Country

See which countries have been granted the most AI patents each year, from 2012 to 2022.

Published

23 hours ago

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April 24, 2024

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Visualizing AI Patents by Country

This was originally posted on our Voronoi app. Download the app for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources.

This infographic shows the number of AI-related patents granted each year from 2010 to 2022 (latest data available). These figures come from the Center for Security and Emerging Technology (CSET), accessed via Stanford University’s 2024 AI Index Report.

From this data, we can see that China first overtook the U.S. in 2013. Since then, the country has seen enormous growth in the number of AI patents granted each year.

YearChinaEU and UKU.S.RoWGlobal Total
20103071379845711,999
20115161299805812,206
20129261129506602,648
20131,035919706272,723
20141,278971,0786673,120
20151,7211101,1355393,505
20161,6211281,2987143,761
20172,4281441,4891,0755,136
20184,7411551,6741,5748,144
20199,5303223,2112,72015,783
202013,0714065,4414,45523,373
202121,9076238,2197,51938,268
202235,3151,17312,07713,69962,264

In 2022, China was granted more patents than every other country combined.

While this suggests that the country is very active in researching the field of artificial intelligence, it doesn’t necessarily mean that China is the farthest in terms of capability.

Key Facts About AI Patents

According to CSET, AI patents relate to mathematical relationships and algorithms, which are considered abstract ideas under patent law. They can also have different meaning, depending on where they are filed.

In the U.S., AI patenting is concentrated amongst large companies including IBM, Microsoft, and Google. On the other hand, AI patenting in China is more distributed across government organizations, universities, and tech firms (e.g. Tencent).

In terms of focus area, China’s patents are typically related to computer vision, a field of AI that enables computers and systems to interpret visual data and inputs. Meanwhile America’s efforts are more evenly distributed across research fields.

Learn More About AI From Visual Capitalist

If you want to see more data visualizations on artificial intelligence, check out this graphic that shows which job departments will be impacted by AI the most.

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