Tesla’s Autopilot autonomous driving capability has been both endorsed and doubted, while a high-profile case found a Model S to be operating in Autopilot mode when it ended in a fatal crash. Now, the American electric automaker has another public fan in Nvidia CEO Jen-Hsun Huang, who said that Tesla’s Autopilot is “basically five years ahead” of other autonomous systems.
“Anybody who’s talking about 2021… that’s just a non-starter anymore. And I think that’s probably the most significant bit in the automotive industry. Anybody who is talking about autonomous capabilities in 2020 and 2021 is at the moment re-evaluating in a very significant way,” Huang said.
Autonomous driving is not a “detection problem” but rather, an “AI problem,” Huang added, which can be solved next year with the use of Nvidia’s Drive PX 2 supercomputer, which he claimed in the video above to have “the computational capability of 150 MacBook Pros,” within a package the size of a lunch box.
When asked why Tesla selected Nvidia’s technology for the second generation of Autopilot instead of Mobileye’s, Huang stated three reasons: Nvidia’s GPU platform is better suited for artificial intelligence applications, it is scalable with over-the-air updates for the building of an autonomous fleet, and it is better at energy efficiency.
Looking to sell your car? Sell it with Carro.
Thats precisely what Musk is doing. Getting this pet project on the roads early to “collect data”.
There is only so much the sensors can collect and so much time it has from detection to action.
A good Photographer can anticipate a shot. Likewise a good autonomous driver needs to be able to anticipate events like or better than a human driver. It is called intuition (or in computer sense, AI)
They need to spend 5 years in KL for the AI to learn the habits of Mat Rempits splitting lanes and crazy people suddenly deciding to U-turn across 3 lanes of traffic (because the road design here is confusing)
I think 5 years not enough for Malaysia,I think for Malaysia need 10 years or more. Due to the crazy barbaric drivers and rempits.
And an extra roof sensor too for any unforeseen CRANES falling on the road
if you think KL traffic is bad?, then they need to spent another 50 years for jakarta traffic, 46 years for vietnam traffic, 35 years for bangkok traffic, 120 years for bombay traffic, need i to mention shanghai?, shenzen?, manila?..
go visit to other country will open your eyes more.
since when GPU is better at energy efficiency? parallel execution, maybe. we will see the implementation of GPU on satellite IF GPU managed to achieve energy/power efficiency better than FPGA.
Well Nvidia never compare them self with FPGA. But compare to current GPU exist. Nvidia indeed become much more efficient then ever.
I know that GPU’s architecture is good at SIMD but testing it by controlling a vehicle in the real world seems a bit unwise. It’s like, GPU is for less computing more action, in an event where an instruction is unavailable and the data is vaguely similar to something else, then what would the car do?
Eg would be; A toddler crawl across the road, the car is going too fast, so there are 2 option, kill the elderly driver or kill the toddler.
GPU Sees; An object blocking the road, looks to be a stray cat, knock it over and save the elderly driver who’ll die from the heart attack anyway.
CPU sees; An object is blocking the road, it is a human baby crawling on the road, baby has longer lifespan than this elderly driver, baby could be the person that saves the planet, elderly driver could die by year end, baby could end world hunger, elderly driver is always hungry for McChicken, Hmm… Give baby a chance and kiss gramps good way.
Perhaps they realized that by the time the CPU manage to figure things out the baby is dead and the car is 10km away from the accident spot with a dead gramps that had an heart attack so they just go with the GPU then.
Satellite chose FPGA for the future design rewiring option. Power is secondary, as long as it’s not too bad.
red team goes Ayyyyyy…