Earlier this year, Uber’s ATG (Advanced Technologies Group) and Data Visualization teams teamed up to improve the performance of self-driving vehicles. Uber isn’t the only one on a fast-sprint in this race to the future. But it has outdone its competitors by leaps and bounds. ARTiBA has tried to decode the secret to this success.

If COVID-19 couldn’t dim one zeal - It’s the zeal of AI. Artificial Intelligence is in the headlines back again. This time with greater fury and with a mission to change the world. AI is going to take the world places. Literally!

Tracing The Trajectory of the Moonshot

Let’s face it. This wasn’t a happy ride. The success of AI-enabled autonomous vehicles was long mistrusted. Speculations were abounding, from adversaries questioning the technology’s success potential and impact to critics calling it yet another internet, bitcoin, or blockchain bubble.

That was until the unprecedented 2020 knocked. Things changed pretty fast then.

While 2020 was rattling almost every other business, driverless cars were becoming a known face in the headlines the world over; One of the very few happy headlines, their audience hooked for the latest developments, tracking every single move. It’s not just the automotive manufacturers who were racing to find the sweet spots.

How Driverless Cars Work

Before we learn about Uber’s work, let’s dig into the basic functioning of the self-driving cars.

SAE International has categorized self-driving cars into six levels of functioning. Level zero refers to no automation and level five is fully automated with no driver assistance or monitoring.

https://www.artiba.org/blog/a-look-into-uber-futuristic-self-driving-cars-technology