This is what Tesla’s Artificial Intelligence ‘sees’ when it’s on the road
The foundation on which Tesla, Inc. has been built has two rather crucial pillars: all-electric propulsion; and autonomous driving.
The California-based company pretty much has the former nailed, given that the dual-motor in the highest-spec Model S P100D sends around 595 hp and immediate torque to all four wheels, letting it hit zero to 100 km/h in a staggering 2.7 seconds.
Couple that with over 820 km of range (yes, fine, at 70 km/h and in 40-degree temperatures) and call it a day.
It’s the latter, though, that arguably captures the imagination more, given that more and more premium manufacturers are beginning to acclimate the software into their product line-up, and, theoretically at least, it’s only a matter of time before industry regulations start to relax.
That might perhaps be the incentive behind the above video from YouTube user Pranav Kodali, who has, ahem, ‘acquired’ data from Tesla’s latest Autopilot 2.5 to show viewers what the car’s on-board A.I. would see when in action.
Now, let’s start with an important caveat: the above 17-minute video is what the self-driving software in a Tesla’s Models 3, S or X could see if driven on the Tail of the Dragon.
We doubt even the most well-meaning of electric automotive connoisseurs would attempt all 318 turns on the sinuous 17.5-km stretch through North Carolina towards Tennessee just to show the capabilities of Autopilot 2.5. That, plus ‘the car’ pulls off at 2m 47s to let some bikers past.
Still, as a concept, it’s nonetheless interesting, given that hazards like on-coming traffic are identified by the A.I., showing us how the software could react. This is set to receive a further update in just a few months with the ‘Summon’ upgrade can follow road signs, find empty parking spots and park automatically.