Tesla vs Mobileye: who will win the Full Self Driving battle?

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Информация о Tesla vs Mobileye: who will win the Full Self Driving battle?

Название	:	Tesla vs Mobileye: who will win the Full Self Driving battle?
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Tesla is L2 and Mobileye is L4
Comment from : Alpha & Omega

Tesla FSD and autopilot is Mobileye tech stolen
Comment from : Alpha & Omega

Could you do an update on Mobileye vs Tesla? They are public now and they seem to make insane progress…
Comment from : Sanchez

Is this worth a revisit - one year later?
Comment from : Jeremy Cooke

“Mobil Eye have more equipped cars on the road” How?
Comment from : Jeremy Cooke

one more brbrbrbrbrMobileye to shake hands with TESLA hmm that be great deal bryou think yeah right on me too
Comment from : Paul Dionne

I would say mobeleye would win cuz they use cameras, lidar and radar while tesla only uses cameras brGlad to see competition That will hopefully speed things up
Comment from : Hamza Naser

I’m sorry but I’m going to trust the man who against all odds made his company worth billions in less than a decade
Comment from : Jack Davids

I was deciding what company to invest and you gave me the missing piece of the puzzle Thank you!
Comment from : mariano medina

HD maps make no sense Seems like an unsustainable short term solution Humans don’t need HD maps to drive
Comment from : Ian X

Sometimes we can be dazzled by the hardware and software technology without consideration for whether it can ever be realistically utilised I'm willing to bet that fully autonomous vehicles will never be the panacea they're made out to be for reasons other than technological capability
Comment from : saiello2061

Great vid, thanks! This is the first time someone has seriously suggested that Tesla won't win
Comment from : ChrisBrengel

I don't trust those fancy numbers released by Tesla All just marketing words
Comment from : J D

I don't think Mobileye traditionally used radar as you stated at 4:50
Comment from : J D

Lidar makes a necessary redundancy for an added safety Mobileye makes high definition maps with their fleet and that continually updated and expanded Who's going to win fsd race?brThe company that will prove to the authorities to be safe
Comment from : Casey Muni

Very informative
Comment from : newbielives

At the end of the day the winner will be the one that is most aceppted around the world Mobileye may have an advantage in some places that require lidar to be implemented I believe both will do very well but I have my money on Mobileye (Nio)
Comment from : Roman

I have never even heard of Mobileye They have a way to go in public perception
Comment from : Roedy Green

You say that Tesla dumps all the data back to base for training purposes thus overloading and being inefficient However in every presentation since Autonomous day they say they only request specific cases, such as cut ins, to avoid inefficiency Are they lying?
Comment from : Denis Harding

Tesla rocks
Comment from : Tigran Ohanyan

The large stationary object not being detected is not a vision problem, but a radar problem
Comment from : cheezzinator

Of course Elons HW4 does 420 Tops, because, of course!brYou just know Elon spent his most of his college years typing 5318008 onto his calculator
Comment from : Paul ONeill

Ah but, Elon is going to win via the genius strategy of re-defining what FSD means! brHe promised y'all FSD and y'all paid thousands of dollars for FSD, it's just the words "Full" "Self" and "Driving" changed their meaning subtly What can a poor billionaire do?
Comment from : Paul ONeill

Is the instruction set standardized between the two processors? If not, is it worth comparing operations per second?
Comment from : MrXperx

Who says tesla isn't testing on specific data, they don't have to always be testing on "everything" data
Comment from : blus z

There are three main factors to be ahead in FSD - DATA, DATA and DATA
Comment from : Yat Lee

Interesting How does Mobileye's algorithms work with different cars with different sensor suites? How can it be a plug-and-play solution?
Comment from : MrChangCJ

driver monitoring system creeps me tf out
Comment from : saluteo

Yea mobile eye are not as redundant as i thought
Comment from : Jeremy link

I think new smart engeniers are not hyped about YES IM ONE OF THE BEST SOFTWARE ENGINEER LETS GO I WANT TO WORK FOR MOBILEYE xD
Comment from : Anonymous

Problem with MobilEye is how many of those cars are actually uploading data? Not many
Comment from : Rick Kay

Tesla will be by far the sure winner!
Comment from : Edgar Quismorio

ok I will sell 100 of my Tesla stock and get Lucid (CCIV) instead Thanks for the great info
Comment from : Rio Riggs

For some reason I have a feeling Mobileye will win
Comment from : Palm Tree

Nice of you to have faith that the Lucid Air is going to actually show up one day ME won't get much data from that 'fleet'
Comment from : BlueToad

Surely the 'large objective in road' problem,if not properly recognised by the cameras, is picked up by the radar?
Comment from : BlueToad

The thing with tesla is, that they aren't thinking in terms of "will we solve full self driving", but rather as "how can we provide fsd extremely cheap to a broad amount of the population"brSolving FSD is just a matter of time, it's not a question of "if" but rather a "when" The big difference is, that every tesla sold right now, already has everything it needs to use FSD in the future, while the competition has special test cars with funny looking sensors on the top usually
Comment from : Lunnaris01

The vast majority of the autonomous-car community thinks Tesla won't get to L5 any time soon, or at all, with their current approach It's pretty much only the Tesla fanboys who expect to have a Tesla robotaxi in the next few years
Comment from : Charlie Doyle

Tesla:br"Buy our cars They have everything to be full self driving!"brdelswitches out the computer to a version 2/delbr"Buy our cars They have everything to be full self driving!"brdelswitches out the computer to a version 3/delbr"Buy our cars They have everything to be full self driving!"brdelswitches out the computer to a version 4/delbr"Buy our cars They have everything to be full self driving!"brdelswitches out the radar to a new type of radar/delbr"Buy our cars They have everything to be full self driving!"br--br"Buy our cars They have everything to be full self driving!"br--brbrbr"By 2018, this is a self driving car! And by 2020 there is one million robotaxis!"br-2018-br"By 2019, this is a self driving car! And by 2020 there is one million robotaxis!"br-2019-br"By 2020, this is a self driving car and there is one million robotaxis!"br-2020-br"By 2021, this is a self driving car!"br-2021-br"By"brbrReality:br* No one will have a true self driving car (SAE Level 5) for over a decade and most probably two decades - maybe neverbr* NO TESLA ON THE STREET will EVER reach full self driving (Level 5)
Comment from : Xanthopteryx

Humans use only 2 eyes to move around in the world VISION ONLY WORKS brLidar is not required, and it can only be used when coupled with vision (Lidar only, does NOT work) And as Elon likes to say "The best part is no part"brTesla will have a supercomputer this year (search for Tesla Dojo) to brute-force more data into the machine learning AI Tesla is years ahead and will probably have level 5 AI by late 2022 at worst
Comment from : OnigoroshiZero

The first company to reach effectively full self driving will be the company that first starts relying on what human vision relies on for percieving the world Which is inferring depth information from different points of view And you can see that nobody is doing it at the moment simply by looking at their camera configurationsbrbrMobileye is effectively driving cars like trains They build their rail network and their cars cannot leave the rails Tesla has an overall better approach but they also have the problem of overusing neural networks to solve trivial problems that can be solved more easily and accurately with simple geometry The main problem with overrelying on neural networks is their inherent feature to occasionaly give random meaningless outputs that can cause serious problems if there is no post-processing on the NN output Tesla clearly doesn't do any significant such post-processing which is evident by the spontaneous outputs that their autopilot sometimes givesbrbrThe "big stationary object on the road" problem is trivial to solve if you approach self triving as a general problem of getting from point A to point B without hitting stuff, which is a very old and solved robotics problem You simply need correct 3D information of your surroundings which you can get either with LIDAR and cameras (LIDAR alone makes it hard to identify moving objects) or with photogrametry just with cameras The drivng-specific stuff shouldn't be a priority, but every ADAS developing company starts with that They first develop lane marking and car detection and only later or never they develop actual 3D perception It is so ridiculous If you have a system that can see a thing on the road and avoid it you've instantly solved the problem of avoiding cars, humans, trucks that have fallen over, and every other object that could be on the road all at the same time But if you decide to train NNs to identify specific objects and only avoid those you can never make a safe car because some objects that will be on the road in the future would have never been on the road in the past so it is theoretically impossible to train a NN to identify something that doesn't exist yet
Comment from : Svetlin Totev

16:05 Skynet becomes self aware
Comment from : Nick Sutton

Just because MobileEye has their chip in all of those cars does not mean the car will be able to do anything near actual FSD
Comment from : J 22

how about adding a comparison table or graph? otherwise, it's just prattling a bunch of numbers
Comment from : 0101Zero

Never heard of em brbResult:/bbrTesla: wins by exposure
Comment from : HourtheRomanticist

Few comments on the wattages of processors and hardware Anything less than 250 W seems to be great for range in the EVs:brbr250 W system:brAt 120 km/h a 250 W system will consume 208 Wh/km equals about 5 km range loss on a full 75 kWh batterybrAt 90 km/h a 250 W system will consume 277 Wh/km equals about 10 km range loss on a full 75 kWh batterybrAt 50 km/h a 250 W system will consume 500 Wh/km equals about 20 km range loss on a full 75 kWh batterybrbr100 W system:brAt 120 km/h a 100 W system will consume 083 Wh/km equals about 15 km range loss on a full 75 kWh battery brAt 90 km/h a 100 W system will consume 111 Wh/km equals about 4 km range loss on a full 75 kWh battery brAt 50 km/h a 100 W system will consume 200 Wh/km equals about 9 km range loss on a full 75 kWh batterybrbrbr10 W system:brAt 120 km/h a 10 W system will consume 008 Wh/km equals about 015 km range loss on a full 75 kWh battery brAt 90 km/h a 10 W system will consume 011 Wh/km equals about 04 km range loss on a full 75 kWh battery brAt 50 km/h a 10 W system will consume 020 Wh/km equals about 09 km range loss on a full 75 kWh batterybrbrSo the power usage is mostly important in the city and when idling, here low power will make a great impact on cost and range As soon as you go on the highway it will matter much less Anything above 250 W for the hardware will start impacting the range a great deal
Comment from : Arpedk

No wonder why lucid car so huge and cost so much Tesla software more intelligent I'd rather go with smarter lower cost
Comment from : Richard Peter Shon

Not much content covering Mobileye Thanks brbrAnd I don't know why Ark invest didn't mention Mobileye very often in stead of Waymo Waymo's methodology and data size is not a threat to Tesla but Mobileye seems to be
Comment from : Jas

$500 per lidar is not cheap For 2 million cars, it cost $1Billion margin Multiple lidars are even worse BTW, Lucid motor is a fraud If the mobile eye is depending on ICE car manufacturers to implement, they are already behind and only playing catch-up games You are comparing a future Mobile Eye technology against current Tesla as if Tesla is in a standstill
Comment from : Michael Shue

This is exactly why competition is a great thing
Comment from : Dranomoly

Tesladata data data
Comment from : Abdur Rahman

Technically Musk is considered a founder as per a court ruling on the subject some years ago
Comment from : Tolegonianfella

while Lidar might be better in identifying there is an obstruction on the road Tesla still uses also the radar that can resolve most of the issues Lidar "solves" and knowing Alon if tomorrow Lidar is sufficiently cheep and can solve for Tesla any issue it has than it might creep into the Tesla self driving system also as you said Mobil eye is basing it's expansion on city by city that will always leave out areas of rest of the country that will not be mapped and cities have un expected road works and obstacles
Comment from : Amram Weismann

Easily tesla sorry to burst your bubble but Elon is a god and builds rockets for fun
Comment from : Beta to ALPHA

Mobileye belongs to intel if it s good, why Intel shares decreases how to explain is everybody stupidtesla share is 10 x bigger people perçeive Tesla technology better
Comment from : Ambre Chane Waye 20

Tesla will win, but I might be biased; hence I watched this video all the way through Continuous improvement is best People should know that I've been waiting my whole life for Intel to succeed in a business outside their core business of chipmaking They've always failed, and now their core business is coming under threat Elon's track record is success followed by success
Comment from : More MileyPlease

The car in the MobilEye video is driving in Germany How is that possible w/ regards to european regulations?brUnfortunately the license plates are blurred, so I cannot say which city that is
Comment from : Test Bild

I think you’re off base on a few points MobilEye’s ADAS chips are in many cars but they are not being used to collect data Tesla already has a million strong fleet collecting real data MobileEye is still very limited in data collecting capability and mostly limited to Tel Avi Finally LiDAR is not being used to create detailed maps The cameras are However Mobile eye has the best merchant solution and my bet they will beat out NVidia but they are not a threat to Tesla in any way
Comment from : Greg Helton

There’s room for several players though I think MobilEye’s solution is superior to NVidia’s, both SW and HW-wise Soon most ICEV OEMS will realize they have no choice but to join one of the two camps Tesla is in charge of their own destiny, the only player at the moment in the driver’s seat
Comment from : Greg Helton

It is not a hardware problem, one makes detailed maps the other trains a neural network
Comment from : Qinby 1

I complete agree Why excluding Lidar if it can help you in some cases and gives you real redundance, if it doesn't cost you much? And Mobileye creates and update their HD maps very rapidly, almost on the fly
Comment from : Gobl - an Alien abducted by humans

Mobileye is the one competitor to Tesla that I take seriously because they have the potential to get their system out to many different automakers around the world such as Nio and therefore will have the data that is needed to keep pace with Tesla
Comment from : iakona23

I think Tesla's AI is going to win the day
Comment from : Bahamas Imagery

So, why can't radar see, "hard still object in the road"?
Comment from : James Dubben

Heinrich Peter Maria Radojewski Schäfer Leverkusen

6:40,bror is it 300 watts? Very doubtful brIt's on the data sheet, yes brBut there is no 25 TerraOps chip under 100 watts
Comment from : Heinrich Peter Maria Radojewski Schäfer Leverkusen

DOJO
Comment from : Wayne Russell

Thank you Very useful information
Comment from : XInyu Zhang

Great info on self driving technology details
Comment from : Vladimir Mishin

Somebody please explain how a car manufacturer tries to sell at scale MobileEye FSD enabled cars that work only in a few specific cities Thanks in advance
Comment from : Ethan Lake Music

Note: as Tesla mentioned , since they have access to the cars hardware, they give more weight to the data when the driver takes over This distinguishes them from the competitions
Comment from : Jupyter

No mention of Teslas Dojo?
Comment from : spndrp

Having worked for city transportation before if you think that dealing with multiple city halls is in any way effective you’ve got another thing coming
Comment from : Macio Luko

Yeah but Dojo is an AI so there is that!
Comment from : Iain Norquay

"Front lidar for security matter : long object across the road" does not Radar do the same ?
Comment from : Fred T

I believe Tesla's process to get to FSD (appears) to be making the system act on "instinct" Will they succeed? I have no idea , but if they do their cars will become adaptable any place on Earth or for that manner the Moon and Mars Watching your videos and reading articles about Tesla FSD shows me that If they succeed all planes, boats and ships will adapt to all conditions they find themselves in Watching Natgeo how predators adapt to conditions (dolphins) It is awesome
Comment from : Hector Arcelus

All the talk about integrated circuit specs tells me next to nothing about the success of either company's autonomous driving technology I learn more from youtubers with Tesla's beta It's all about the edge cases, and handling these cases is a software problem Maybe you don't have anything similar from Mobileye to share, but a discussion of autonomous driving with no examples of a car actually driving autonomously, other than Tesla's contrived marketing video, is not very informative I care less about who will win than when they'll win, and operations per second of a CPU doesn't tell me Other hardware specs don't tell me either You might as well tell me what programming language the coders use
Comment from : secret life