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This failure and that of Siri underscores how weak Apple is in machine learning. While Google and FB garnered some of the best talent, Apple went to the charlatans.

Expertise in ML is key to a tech company's future and Apple has lost that future.

well roared, lion!
apple has close to nothing what a future company needs ... its just a better aol time warner by now!
 
For me the shocker was NVIDIA was testing a car lol

Just like Apple they are testing a technology suite grafted to an actual car made by an automotive company. They don't make their own cars and their plan is simply to provide the technology to those who will
 
I think that without knowing what they tested this graph cannot be used for any type of judgement. I am sure any of those self driving cars could go on the highway and drive thousands of miles without much interference. So unless all systems took the same route, you can't judge anything.

seems you have a lack of understanding in reading solid information.
the information states that apple could NOT drive 1000 of miles without disengagement.

even tesla cant "go" on the highway and drive thousands of miles without any user interaction, your lack of knowledge seems very disturbing to me!
 



Apple has been testing Lexus SUVs equipped with its autonomous driving software out on the roads around Cupertino since April 2017, and for the first time, the company has filed a disengagement report with the DMV.

A disengagement report tracks the number of times an autonomous vehicle disengages and gives control back to a safety driver or the number of times the safety driver in the vehicle interferes. All of Apple's self-driving SUVs have safety drivers able to take over in the event of an emergency.

The DMV will be publishing the full reports later this week, but they appeared briefly on the website and The Last Driver License Holder was able to get a brief look at some of the data. The information covers the period from December 2017 to November 2018 for all companies operating self-driving vehicles in California, including Apple.

lexussuvselfdriving2-800x511.jpg

Image via The Last Driver License Holder
According to the data, Apple registered 871.65 disengagements per 1000 miles, with a disengagement approximately every 1.1 mile. For comparison's sake, Waymo, Google's autonomous vehicle arm, had 0.09 disengagements per 1000 miles with 11,154.3 miles per disengagement.

milesperdisengagementapple-1-800x575.jpg

Apple's total number of disengagements was higher than any other company doing autonomous vehicle testing, suggesting Apple drivers need to take over for the self-driving vehicle more frequently than other companies as it works out kinks in the software. This could be because Apple is driving more challenging routes, Apple drivers are abundantly cautious, or it could be because its self-driving software is less evolved.

There are likely multiple factors at play when it comes to Apple's performance, and it's worth noting that Apple has not been testing self-driving vehicles for as long as other companies.

Disengagements are self-reported numbers and companies are able to take some liberties with how this data is reported and just what counts as a disengagement, so the data should be viewed with that in mind.

appledisengagementreports.jpg

Image via The Last Driver License Holder
According to the data, Apple has 62 self-driving vehicles out on the road, though earlier reports have suggested that number is a little low. As of November, Apple reportedly had 72 vehicles on the road.

Apple's self-driving vehicles were involved in two minor collisions in 2018, one in August and one in October, though neither collision was Apple's fault. In the August collision, the vehicle was in self-driving mode, while in the October collision, it was in manual mode.

More detail on Apple's self-driving car performance will be available later this week when the full reports are released.

Article Link: Apple Reports Self-Driving Car Disengagements to DMV, Earns Worst Rank

The built in dodgy T2 chip to activate the airbag when not needed , battery that needs replacing or speed is limited to 30mph, and dodgy keys that don't turn on the headlights or indicators.

Plus "navigation" by Apple Maps.

Only $130,000.
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If the ANN powering Apple's self-driving car is anything like Siri's, I can't exactly say I'm surprised. Those two could make a lethal combination.

View attachment 821550

Here's what I found on the web for "emergency stop" :p
 
It would be better to give separate figures for who took control, the car, or the human more in given year, otherwise the figures are kinda meaningless.

I'm more interested in if the "car took control" was higher. then that says better.
 
Tesla’s autonomy uses Nvidia hardware.

nope ... they have their own chip now
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IMO this is going to end badly and be a complete flop and Apple should stay out. Too many backroad scenarios where human intervention is required and when enough people get injured and file lawsuits.
Better to use this technology for flying vehicles instead and leave the cars as they are.

haha, really - the opposite is true, the more autonomous vehicels are on the street the deat toll will fall.
driving will be calm and hyper reactive
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AirPower? I have been using Qi wireless charger with my iPhone X for a good while. What is taking them so long to deliver AirPower and what is perfection there. It will be interesting to see what more added value I get Mar 22nd, I guess. Unless I missed your sarcasm ;-)

well to be honest - airpower is the next level - you can place your devices almost anywhere - and even more of them at the same time.
if airpower delivers on that - its a nice product!
 
I worry that this data drives the wrong behaviour. As the article points of it could be for many reasons, but a head-line number makes a tempting metric. Perhaps crashes or fatalities per km would be a better metric
 
I still don’t know anyone who really wants a self driving car and that is before we know what additional costs will be for car network connectivity insurance etc. sure it would be great on certain trips done occasionally but not full time. But we now live in a world where McDonalds gets delivered to people

Time will tell but again no one I know really wants one
 
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The problem is that the way the manufacturers report the data is not the same, some report every takeover while others only report a takeover if it were to avoid an incident (accident, running a stop sign, etc). The data is useless.
 
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Maybe they are just leaving room to give us those unreal improvement percentages...
Either way highly doubt they will release anything at this stage, too early to tell.
 
And what about Uber? Where is Uber in those stats?

The stats are only for testing done in California. Uber isn't testing in CA at the moment, plus the data is meaningless since it doesn't take into account many factors like the location of the tests and the types of tests. Waymo does a lot of testing in what is essentially a closed course at very low speed. Also, they may only be reporting the takeovers required to avoid an accident, while other manufactures may be reporting every take over including those required just to stop for fuel. The data is meaningless.
 
The stats are only for testing done in California. Uber isn't testing in CA at the moment, plus the data is meaningless since it doesn't take into account many factors like the location of the tests and the types of tests. Waymo does a lot of testing in what is essentially a closed course at very low speed. Also, they may only be reporting the takeovers required to avoid an accident, while other manufactures may be reporting every take over including those required just to stop for fuel. The data is meaningless.

I agree - the data is meaningless, Sadly a lot of folk on here are taking it as a true measurement of the product's capability
 
I think Apple is a brilliantly creative company with many talented engineers, but I think too many have underestimated the complexity of a 100% self driving car to fully replace a human (all conditions like intense rain, mud, snow, extremely narrow streets, complex in-city driving like downtown San Francisco, etc.)

doubt it. you dont know much about what’s going on there. my guess is that they’re trying something radically different compared to everyone else.
 
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The stats are only for testing done in California. Uber isn't testing in CA at the moment, plus the data is meaningless since it doesn't take into account many factors like the location of the tests and the types of tests. Waymo does a lot of testing in what is essentially a closed course at very low speed. Also, they may only be reporting the takeovers required to avoid an accident, while other manufactures may be reporting every take over including those required just to stop for fuel. The data is meaningless.

So you really think the cars apple are using need to stop for fuel every 1.8km?
 
seems you have a lack of understanding in reading solid information.
the information states that apple could NOT drive 1000 of miles without disengagement.

even tesla cant "go" on the highway and drive thousands of miles without any user interaction, your lack of knowledge seems very disturbing to me!

Well it looks to me that you didn't read the article correctly. They even said "This could be because Apple is driving more challenging routes". The miles alone are not a judgement of how well it works if the route is not known. The article nor the graph state that the apple car is incapable of driving 1000 miles without disengaging, it just states that it wasn't tested to do that. I didn't say anything about Tesla, I meant the other companies in this chart. Maybe the google car went an easier route for more often. From a technical perspective it makes more sense to test very difficult scenarios on the street, everything else can be tested in a virtual environment. Testing thousands of miles without disengaging means either a) you are very close to be done with your development and you are now rolling out more field tests or b) you want to showcase your product rather than test it.
 
Just wait until Apple Car Series 2. 50% fewer disengagements and 50% safer!

And 10% thinner!
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Well it looks to me that you didn't read the article correctly. They even said "This could be because Apple is driving more challenging routes". The miles alone are not a judgement of how well it works if the route is not known. The article nor the graph state that the apple car is incapable of driving 1000 miles without disengaging, it just states that it wasn't tested to do that. I didn't say anything about Tesla, I meant the other companies in this chart. Maybe the google car went an easier route for more often. From a technical perspective it makes more sense to test very difficult scenarios on the street, everything else can be tested in a virtual environment. Testing thousands of miles without disengaging means either a) you are very close to be done with your development and you are now rolling out more field tests or b) you want to showcase your product rather than test it.

We actually do know that Google started with with a technique where first the entire path was visually recorded and 3D mapped (down to the square inch of detail), the map was then downloaded into the car, then when driving on the road the car compared the map it had been taught with what the sensors were seeing. Google/Waymo would continue to update that map for the routes they were using.

Anyway, this technique works, but everyone in the industry doesn't consider it viable since every square inch of the U.S. roads can't be 3D mapped and that map updated daily. So the goal is to get a car that can go onto a street it has never seen or been taught about and then navigate it.
 
This comment section is exactly why apple doesn't talk about unreleased products haha.

Apple car isn’t even a confirmed rumor (let alone a released product) and it’s already a failure in the eyes of mr readers
 
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nope ... they have their own chip now

Not "now" they don't - all current Model S, Model X and Model 3 including my Model S are using Autopilot 2.5 running the same Nvidia for years. Musk said their chip would be ready in 6 months, which means more like 2 years. They still haven't got Autopilot 2 running on par with Autopilot 1 when they decided to program it all themselves.

They're making their own chips now, though, and they hired an Apple chip guy for the project.

--Eric

Again see above not "now" they're not.
 
This is atrocious. It’s like the thing can’t even turn a corner without help.

Makes you wonder why Apple is continuing with the self-driving car. Me, I’d prefer they make decent Macs again.
 
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