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  • We all make poor life choices

  • take these two guys for example

  • They're the founders of a self driving car company called Zoox

  • and they've decided it makes sense to try and compete against this

  • Waymo the Google self driving car project, Cruise Automation, Daimler, Baidu, Uber, and Lyft

  • But Zoox is different. its rivals are adding self driving technology to existing cars

  • Meanwhile Zoox is making a new type of vehicle

  • for the self driving age

  • basically Zoox is making a robot

  • and its early incarnation. Looks like the love child of the Matrix, Mad Max, and Transformers franchises

  • This is Tim Kentley-Klay

  • He hails from Australia and Down Under he was a well-known designer and ad guy

  • One day he had an epiphany. A vision of the future full of robotic vehicles and came here to build them

  • I sort of saw the future of how the whole system could work

  • I said ok I need to find a brilliant computer scientist

  • so that led me on a journey for six months actually where I ended up finding Jesse

  • That brilliant computer scientist is Dr. Jesse Levinson

  • A Stanford grad who was sought after by none other than Google itself

  • I actually visited a Google X in 2013 to come and speak on my vision for autonomy

  • In talking a fellow he there's one guy and he's really good and we can't get him

  • that was my signal to go and get him

  • a lot of your colleagues have run off to companies like Google or or Uber to retrofit their cars

  • What drew you to this particular task

  • and this approach

  • I've been working on some driving cars since 2005 and

  • it's pretty clear even back then that there's going to be one of the more transformative technologies for society

  • It wasn't enough to just solve the technology

  • You need a product and you need a business that makes sense

  • And I hadn't seen that in any other company until I met Tim and he shared his high level vision

  • For what Zoox could be

  • And that vision is a system of completely autonomous robotic vehicles

  • that can be summoned just like a Lyft, or dare I saw it, an Uber

  • We have a very clear vision at Zoox

  • which is that AI and mobility will take us out of the age of the automobile

  • and into the next mobility age which for us is robotics autonomous transportation

  • Tim and Jesse take me to the Alameda Naval Air Station

  • where I'm about to get a test drive and see how a Zooks robot handles

  • these are very unique vehicles. They're designed in a way that would only make sense

  • if they're going to be fully autonomous

  • The power trains are designed for full autonomy they are fully redundant and they have joule high voltage

  • batteries they have joule low voltage architectures

  • you can see that rigged with computer sensors. They can drive without any human intervention

  • This is VH4. This is VH5

  • You want to go for a ride?. Yeah I do. All right. Jump in

  • Zoox has placed cones on the tarmac. The robot is going to drive out and try to dodge them

  • And I get to do the whole test sitting backwards because Tim thought it would be funny

  • time to meet my robot maker

  • and with one swift keystroke I give complete control of my life over to an ai

  • That really doesn't get old.

  • It's like being at a ride at Disney.

  • These AI robots crank through the course at forty five miles per hour.

  • And the VH5 is set to rip through it at a delightful seventy five miles per hour

  • We can choose all wheel steering, two wheel steering, crab steering,

  • dual Motors

  • and then we have direction

  • I like the crab Steering.

  • Zoox got its start here in this abandoned firehouse back in 2015 with only six employees

  • They've since raised an astonishing eight hundred million dollars

  • and have expanded their operations into a one stop robot making shop

  • With the help of 400 employees.

  • Zoox now on their way to turning these prototypes into full fledged vehicles by 2020

  • For the moment though Zoox does most of its software testing in these

  • Modified versions of Toyota Highlander's which have the decided advantage of being street legal.

  • We're actually going to get you to drive autonomously from this facility to our new headquarters in Foster City

  • And then Jesse is going to jump in and you can travel to downtown San Francisco

  • We don't know any company in the world that is driving that multi-dimensional degree of difficulty

  • from urban to freeway to dense downtown

  • So that's a that's a bicycle?

  • That was a cyclist yeah and that's the car behind us

  • Is something like the speed limit, does that get taken by the cameras seeing the signs

  • or is that something that has to get entered in as you map the world?

  • If there's a sign that's been vandalized or it's missing, or you know, it's got growth on it

  • The vehicle wouldn't know what the speed limit is and that could cause an incident right

  • or a fine

  • So speed limits are really well understood on the road networks. So we put that in as a primer on the map

  • Ok

  • So coming up right here we have to do a left turn yield

  • So you got to see this other car

  • Yes so were we would be concerned about this car that's coming towards us from a prediction level

  • So we just want to make sure that they do the right thing

  • And now we're yielding so if you look on this screen see this yellow here

  • That means we're yielding for that vehicle

  • Ok

  • And now we're off

  • We're about to drive onto the freeway so this will be interesting

  • you can see there's quite a bit of traffic on our left

  • and the vehicles indicating at the moment

  • it's going to break a little bit harder because we've got this vehicle right on our 6

  • and we're running out of runway. And now we merge in.

  • So that would have been a hard situation even for a human driver.

  • We needed to merge and that person on the left was not letting us in

  • We tried to go in front. They stayed with us and then we had to break,

  • let them go past, and then we pulled in. That was, that was all autonomous

  • and you could see how smooth that was

  • Good robot

  • So one of the hardest things to do with autonomous driving is actually prediction

  • because you not only need to understand whats the state of the world is,

  • you have to say well what's the state of the world in the near future

  • If I do this what will that person do.

  • And so that creates very quickly a large search tree and if the vehicle is going to drive with good performance

  • you need to be able to predict well what the state of the world is in the near future

  • Here's our new headquarters

  • 20 minutes suburban driving, freeways merging, 100 percent autonomous

  • That was incredible

  • That was amazing

  • Alright guy, let's go two for two.

  • No pressure

  • Whats' like in each box it looks like there's like a Y an L

  • Yeah there's a V an R and an L. So V means vision, R means radar, and L means LIDAR

  • So we use cameras. We use radar and we use LIDAR

  • Cameras are really good at seeing what things are

  • Radar is really good at seeing where things are in terms of how far away they are

  • And then LIDAR is really good at telling you where things are in 3-D

  • at pretty high resolution and pretty high accuracy

  • And so what we do is we fuse those three sensors together in real time

  • to form one coherent view of the world which is actually what you're looking at on the screen

  • Definitely crowded

  • I mean that must make it harder

  • Oh yeah it's a lot to keep track of

  • We have made it autonomously to San Francisco

  • As far as the public knows Zoox along with Waymo, and GM cruise,

  • are the only companies capable of doing this kind of drive

  • and this is the first time they've ever shown the cars in action to the public

  • Is it madness to take on many of the world's leading automotive and tech companies at the same time?

  • Yes, Of course it is

  • But I say go fourth Tim and Jessie. We all await our lux robotic ride share of the future

We all make poor life choices

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Uberに対抗する8億ドルのロボタクシー (The $800M Robo Taxi That Could Beat Uber)

  • 56 1
    Samuel に公開 2021 年 01 月 14 日
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