In this, the twelve episode of the Energy Transition series, Tom Narayan, Autos Analyst at RBC Capital markets hosts a discussion with included Nakul Duggal, Sr. Vice President and General Manager, Automotive for Qualcomm Technologies; Richard Tame, VP of Finance at Aurora; and Tom Fennimore, CFO at Luminar Technologies. On the future of vehicle automation and the hugely transformational opportunities for user experience and safety.
Transcripts
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- I'm Tom Narayan, RBC's European Autos Analyst,
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and today we have an exciting panel of executives to talk,
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one of my favorite topics, self-driving vehicles.
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So thank you, first of all, all of you three,
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for being a part of this.
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It is the 12th in our
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"Navigating the Energy Transition" series.
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Just a couple of numbers here, just to throw out,
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to give folks a sense of why this is so important.
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I'm sure our panelists know numbers by heart,
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but over a million deaths every year globally,
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over a hundred million serious traffic accidents,
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over 90% of which caused by human error.
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The average speed of a commuter in Europe,
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including traffic and idling, six miles an hour.
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So it's not those long windy roads
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in the Alps that you see in the commercials.
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A third of city driving is looking for parking.
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50 to 60% of some downtown city centers
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is just space for cars and parking.
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Some may say that robo taxis could reduce
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the number of cars on the road by a factor of 20.
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Of course, a lot of that is theoretical.
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But self-driving could save lives, prevent accidents,
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smooth traffic flow, free up space in cities.
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- We are thinking about these new architectures launching
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in as early as the 2024, 2025 timeframe.
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And certainly, as the next wave
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of our roadmap starts to come out
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in the 25, 26 timeframe,
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you will see auto makers having moved to this architecture.
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So it really is the acceleration of the thought process
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where the platform that is being built
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has to be built with the idea
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of being monetized over its life,
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which is something that is very new,
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but also very refreshing in terms
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of how the automotive industry is embracing the concept.
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Today, we consume so much of content.
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We have so many subscriptions
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that we pay for in our home,
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that we were not paying for five or 10 years ago.
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It's because the way that technology has entered the home,
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has been seamless, has been faster,
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has been offered by the same types of ecosystems
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that we are used to working with
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on our mobile phones or in our offices.
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I think the car is going in the same direction.
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It is a more complex platform,
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because it requires many different ecosystems
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to come together to actually make that happen.
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- Our plan is to commercialize the Aurora Driver
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in what we're gonna call a Driver-to-Service model.
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So we're gonna expect our customers
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will subscribe to the Aurora Driver
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and they'll pay us a per mile fee.
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Aurora doesn't expect to own the vehicles.
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We wanna be an asset-light company,
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and the vehicles will be owned by people
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with lower cost of capital,
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people who are very used to
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and have experienced management fleets, we expect.
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At scale, we expect this to be a super attractive business
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with very high SAS-like margins.
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And the Aurora Driver were certainly built
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from the ground up to work across all vehicle types.
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- Thanks for having me on here
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and being able to share more about Luminar.
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One of the things that Austin, our CEO,
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did share at CES in addition
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to the proactive safety demo,
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which I'll talk about here in a second,
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is his longer term hundred year vision for the company.
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And the two mingles that he has
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is to help save, over the next hundred year,
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a hundred million lives.
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And in order to deploy that highway autonomy,
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you need a long range lidar that works.
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You need to be able to see out 250 meters,
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because what that allows you to do
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is bring a passenger vehicle to a safe stop
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if it detects an object in the way.
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So if you have the right long-range sensor,
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you can enable highway autonomy
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with hands off, eyes off the road.
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And as I said, it's an easier operational domain
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to solve for than some of the level five taxis
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- The Aurora Driver hardware.
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There's a computer, there's sensors, there's a lidar.