self-driving cars
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In 2010, Google’s autonomous vehicle project placed self-driving cars on Bay Area streets and freeways, but practical applications were thought to be at least a decade away.
The futurists were right on schedule: In 2020, Mountain View-based Nuro was testing its second-generation R2 robotic vehicle, the first to earn a federal exemption to operate an autonomous vehicle.
But before Nuro could even consider reaching product-market fit, its founders had to overcome technological challenges, win over regulators and strike partnerships with a range of consumer-facing companies.
“Neither JZ nor I think of ourselves as classic entrepreneurs or that starting a company is something we had to do in our lives,” says co-founder Dave Ferguson. “It was much more the result of soul searching and trying to figure out what is the biggest possible impact that we could have.”
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Across four articles, reporter Mark Harris (The Guardian, Wired, MIT Technology Review) explores Nuro’s origins and operations, including the founders’ decision to focus on creating autonomous delivery vehicles instead of entering the passenger EV market.
I’ve lived inside the San Francisco Bay Area bubble for most of my adult life, so it’s interesting to see how people in Houston’s Woodland Heights neighborhood react to seeing Nuro’s R2 delivering pizza and prescriptions on a limited basis.
As one Redditor recently posted in r/houston: “With these self-driving cars, it’s only a matter of time before a country song is written about a guy’s truck leaving him.”
Part 1: How Google’s self-driving car project accidentally spawned its robotic delivery rival
Part 2: Why regulators love Nuro’s self-driving delivery vehicles
Part 3: How Nuro became the robotic face of Domino’s
Part 4: Here’s what the inevitable friendly neighborhood robot invasion looks like
Thanks very much for reading Extra Crunch!
Walter Thompson
Senior Editor, TechCrunch
@yourprotagonist
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Why bother to beat the competition when you can buy them outright?
“It used to be that if you were a fintech startup or, for lack of a better term, a digitally native financial services business, you might be eyeing an acquisition from an incumbent in the industry,” Ryan Lawler writes.
“But lately, fintech upstarts are the ones doing the acquiring.”
Image Credits: Jasmin Merdan (opens in a new window) / Getty Images
“With audiences spread out over so many platforms, reaching cult status requires some level of hacking,” Jenny Wang, a principal investor at Neo, writes in a guest column.
Covering everything from collecting user-generated content to launching splashy guerrilla marketing strategies that can take advantage of someone else’s events, she shares several growth tactics for startups, plus the metrics required to track their success.
Image Credits: ppengcreative / Getty Images
Salesforce announced last week that it plans to launch a video streaming service.
The industry analysts who enterprise reporter Ron Miller interviewed said the initiative has tremendous potential, but one noted that Salesforce will have to dig deep to compete in today’s crowded media landscape.
Salesforce hasn’t released details on the type of programming it plans to offer, but given its vast and diverse customer base, its options are many. Said Brent Leary of CRM Essentials:
“A customer could sponsor a show, advertise a show or possibly collaborate on a show. And have leads generated from the show [which could be] directly tied to the activity from those options and track ROI. And it’s all done on one platform. And the content lives on with ads living on with them.”
Image Credits: Ann Schwede (opens in a new window) / Getty Images
Karl Laughton, president and COO of Insightly, offers best practices for companies looking to make the move to a remote model.
“Employers are at a crucial crossroads when it comes to deciding where and how to let employers do their jobs,” he writes in a guest column. “There are those who will adopt the work-from-anywhere model and those who resist it.
“Those who resist it will likely struggle to keep employees.”
Image Credits: Getty Images under a Olivier Le Moal (opens in a new window) license.
YL Ventures’ Yoav Leitersdorf and Michael Cortez lay out a roadmap for founders of early-stage cybersecurity companies that are heading toward unicorn status.
“The early days of any young startup decide how successful it can be, which is why we’ve developed a focused, value-add program to support cybersecurity founders during this most critical stage and maximize their potential in building market-leading companies,” they write in a guest column.
“It’s never too early to think big, and, with the right support, launch the next industry titan.”
Image Credits: Nigel Sussman (opens in a new window)
Alex Wilhelm considers last week’s funding news from Carta, Chime and Discord and noodles on what the recent rounds mean for startups.
“Understanding why investors are so willing to buy minute stakes in dozens of private companies worth billions of dollars is key to grokking the crush of investment we see among younger technology startups.”
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Residents of Shenzhen will see truly driverless cars on the road starting Thursday. AutoX, a four-year-old startup backed by Alibaba, MediaTek and Shanghai Motors, is deploying a fleet of 25 unmanned vehicles in downtown Shenzhen, marking the first time any autonomous driving car in China tests on public roads without safety drivers or remote operators.
The cars, meant as robotaxis, are not yet open to the public, an AutoX spokesperson told TechCrunch.
The milestone came just five months after AutoX landed a permit from California to start driverless tests, following in the footsteps of Waymo and Nuro.
It also indicates that China wants to bring its smart driving industry on par with the U.S. Cities from Shenzhen to Shanghai are competing to attract autonomous driving upstarts by clearing regulatory hurdles, touting subsidies and putting up 5G infrastructure.
As a result, each city ends up with its own poster child in the space: AutoX and Deeproute.ai in Shenzhen, Pony.ai and WeRide in Guangzhou, Momenta in Suzhou and Baidu’s Apollo fleet in Beijing, to name a few. The autonomous driving companies, in turn, work closely with traditional carmakers to make their vehicles smarter and more suitable for future transportation.
“We have obtained support from the local government. Shenzhen is making a lot of rapid progress on legislation for self-driving cars,” said the AutoX representative.
The decision to remove drivers from the front and operators from a remote center appears a bold move in one of China’s most populated cities. AutoX equips its vehicles with its proprietary vehicle control unit called XCU, which it claims has faster processing speed and more computational capability to handle the complex road scenarios in China’s cities.
“[The XCU] provides multiple layers of redundancy to handle this kind of situation,” said AutoX when asked how its vehicles will respond should the machines ever go rogue.
The company also stressed the experience it learned from “millions of miles” driven in China’s densest city centers through its 100 robotaxis in the past few years. Its rivals are also aggressively accumulating mileage to train their self-driving algorithms while banking sizable investments to fund R&D and pilot tests. AutoX itself, for instance, has raised more than $160 million to date.
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Remember when “mobility” meant laptops and cell phones? Those were quaint times. Now the category encompasses the future of transportation — everything from flying cars and autonomous vehicles to delivery bots and beyond. There’s no better place to explore this rapidly moving industry than TC Sessions: Mobility 2020, our day-long conference in San Jose on May 14.
And there’s no better place to showcase your early-stage mobility startup. Consider this: more than 1,000 of mobility’s brightest technologists, engineers, founders and investors will be on hand to explore the future of this rapidly evolving technology. So why not buy an Early-Stage Startup Exhibitor Package and plant your business squarely in the path of this group of enthusiastic influencers?
Your exhibitor package includes a 30-inch high-boy table, power, linen, signage — and four tickets to the event. You and your team can strut your startup stuff, take advantage of hyper-focused networking and still enjoy the event’s presentations and workshops.
We’re building our agenda, and we just started announcing speakers on a rolling basis. If you know someone who should be onstage at this event? Hit us up and nominate a speaker here.
We already told you that Waymo’s Boris Sofman and Ike Robotics’ Nancy Sun will join us. And we’re thrilled that Reilly Brennan, founding general partner of Trucks VC, a seed-stage venture capital fund for entrepreneurs, will also grace our stage. Brennan’s many investments include May Mobility, Nauto, nuTonomy, Joby Aviation, Skip and Roadster.
Will your startup be his next investment? Stranger things have happened.
TC Sessions: Mobility 2020 takes place on May 14 in San Jose, Calif. Spend a full day of exploring the art and science of mobility, and don’t miss your chance to introduce your startup to influential movers and shakers. These are heady times in the mobility industry, and it’s moving faster than the race to market a viable flying car. Buy an Early-Stage Startup Exhibitor Package, and you might just transport your business to a whole new level.
Is your company interested in sponsoring or exhibiting at TC Sessions: Mobility 2020? Contact our sponsorship sales team by filling out this form.
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It seems like every company making lidar has a new and clever approach, but Baraja takes the cake. Its method is not only elegant and powerful, but fundamentally avoids many issues that nag other lidar technologies. But it’ll need more than smart tech to make headway in this complex and evolving industry.
To understand how lidar works in general, consult my handy introduction to the topic. Essentially a laser emitted by a device skims across or otherwise very quickly illuminates the scene, and the time it takes for that laser’s photons to return allows it to quite precisely determine the distance of every spot it points at.
But to picture how Baraja’s lidar works, you need to picture the cover of Pink Floyd’s “Dark Side of the Moon.”
GIFs kind of choke on rainbows, but you get the idea.
Imagine a flashlight shooting through a prism like that, illuminating the scene in front of it — now imagine you could focus that flashlight by selecting which color came out of the prism, sending more light to the top part of the scene (red and orange) or middle (yellow and green). That’s what Baraja’s lidar does, except naturally it’s a bit more complicated than that.
The company has been developing its tech for years with the backing of Sequoia and Australian VC outfit Blackbird, which led a $32 million round late in 2018 — Baraja only revealed its tech the next year and was exhibiting it at CES, where I met with co-founder and CEO Federico Collarte.
“We’ve stayed in stealth for a long, long time,” he told me. “The people who needed to know already knew about us.”
The idea for the tech came out of the telecommunications industry, where Collarte and co-founder Cibby Pulikkaseril thought of a novel use for a fiber optic laser that could reconfigure itself extremely quickly.
“We thought if we could set the light free, send it through prism-like optics, then we could steer a laser beam without moving parts. The idea seemed too simple — we thought, ‘if it worked, then everybody would be doing it this way,’ ” he told me, but they quit their jobs and worked on it for a few months with a friends and family round, anyway. “It turns out it does work, and the invention is very novel and hence we’ve been successful in patenting it.”
Rather than send a coherent laser at a single wavelength (1550 nanometers, well into the infrared, is the lidar standard), Baraja uses a set of fixed lenses to refract that beam into a spectrum spread vertically over its field of view. Yet it isn’t one single beam being split but a series of coded pulses, each at a slightly different wavelength that travels ever so slightly differently through the lenses. It returns the same way, the lenses bending it the opposite direction to return to its origin for detection.
It’s a bit difficult to grasp this concept, but once one does it’s hard to see it as anything but astonishingly clever. Not just because of the fascinating optics (something I’m partial to, if it isn’t obvious), but because it obviates a number of serious problems other lidars are facing or about to face.
First, there are next to no moving parts whatsoever in the entire Baraja system. Spinning lidars like the popular early devices from Velodyne are being replaced at large by ones using metamaterials, MEMS, and other methods that don’t have bearings or hinges that can wear out.
Baraja’s “head” unit, connected by fiber optic to the brain.
In Baraja’s system, there are two units, a “dumb” head and an “engine.” The head has no moving parts and no electronics; it’s all glass, just a set of lenses. The engine, which can be located nearby or a foot or two away, produces the laser and sends it to the head via a fiber-optic cable (and some kind of proprietary mechanism that rotates slowly enough that it could theoretically work for years continuously). This means it’s not only very robust physically, but its volume can be spread out wherever is convenient in the car’s body. The head itself also can be resized more or less arbitrarily without significantly altering the optical design, Collarte said.
Second, the method of diffracting the beam gives the system considerable leeway in how it covers the scene. Different wavelengths are sent out at different vertical angles; a shorter wavelength goes out toward the top of the scene and a slightly longer one goes a little lower. But the band of 1550 +/- 20 nanometers allows for millions of fractional wavelengths that the system can choose between, giving it the ability to set its own vertical resolution.

It could for instance (these numbers are imaginary) send out a beam every quarter of a nanometer in wavelength, corresponding to a beam going out every quarter of a degree vertically, and by going from the bottom to the top of its frequency range cover the top to the bottom of the scene with equally spaced beams at reasonable intervals.
But why waste a bunch of beams on the sky, say, when you know most of the action is taking place in the middle part of the scene, where the street and roads are? In that case you can send out a few high frequency beams to check up there, then skip down to the middle frequencies, where you can then send out beams with intervals of a thousandth of a nanometer, emerging correspondingly close together to create a denser picture of that central region.

If this is making your brain hurt a little, don’t worry. Just think of Dark Side of the Moon and imagine if you could skip red, orange and purple, and send out more beams in green and blue — and because you’re only using those colors, you can send out more shades of green-blue and deep blue than before.
Third, the method of creating the spectrum beam provides against interference from other lidar systems. It is an emerging concern that lidar systems of a type could inadvertently send or reflect beams into one another, producing noise and hindering normal operation. Most companies are attempting to mitigate this by some means or another, but Baraja’s method avoids the possibility altogether.
“The interference problem — they’re living with it. We solved it,” said Collarte.
The spectrum system means that for a beam to interfere with the sensor it would have to be both a perfect frequency match and come in at the precise angle at which that frequency emerges from and returns to the lens. That’s already vanishingly unlikely, but to make it astronomically so, each beam from the Baraja device is not a single pulse but a coded set of pulses that can be individually identified. The company’s core technology and secret sauce is the ability to modulate and pulse the laser millions of times per second, and it puts this to good use here.
Collarte acknowledged that competition is fierce in the lidar space, but not necessarily competition for customers. “They have not solved the autonomy problem,” he points out, “so the volumes are too small. Many are running out of money. So if you don’t differentiate, you die.” And some have.
Instead companies are competing for partners and investors, and must show that their solution is not merely a good idea technically, but that it is a sound investment and reasonable to deploy at volume. Collarte praised his investors, Sequoia and Blackbird, but also said that the company will be announcing significant partnerships soon, both in automotive and beyond.
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There’s no shortage of lidar solutions available for autonomous vehicles, drones and robots — theoretically, anyway. But getting a lidar unit from theory to mass production might be harder than coming up with the theory in the first place. Sense Photonics appears to have made it past that part of the journey, and is now offering its advanced flash lidar for pre-order.
Lidar comes in a variety of form factors, but the spinning type we’ve seen so much of is on its way out, and more compact, reliable planar types are on the way in; Luminar is making moves to get ahead, but Sense Photonics isn’t sitting still — and anyway, the two companies have different strengths.
While Luminar and some other companies aim to create a forward-facing lidar that can detect shapes hundreds of feet ahead in a relatively narrow field of view, Sense is going after the short-range, wide-angle side of things. And because they sync up with regular cameras, it’s easy as pie to map depth onto the RGB image:
Sense Photonics makes it easy to match traditional camera views with depth data
These are lidars that you’d want mounted on the rear or sides of the vehicles, able to cover a wide slice of the surroundings and get accurate detection of things like animals, kids and bikes quickly and accurately. But I went through all this when they came out of stealth.
The news today is that these units have gone from prototype to production design. The devices have been ruggedized so they can be attached outside of enclosures even in dusty or rainy environments. And performance has been improved, bumping the maximum range in some cases out to more than 40 meters, well over what was promised before.
The base price of $2,900 covers a unit with an 80×30 degree field of view, but others cover wider areas, up to 95×75 degrees — a large amount by lidar standards, and in higher fidelity than other flash lidars out there. You do give up some other properties in return for the wide view, though. The proprietary tech created by the company lets the lidar’s detector be located elsewhere than the laser emitter, too, which makes designing around the things easier (if not exactly easy).
Obviously if people are meant to order these online from the company these are not going to be appearing in next year’s autonomous vehicles. No, it’s more for bulk purchases by companies doing serious testing in industry settings.
Whether the Sense Photonics kit or some other lucky lidar company’s ends up on the robo-fleets of tomorrow is up in the air, but it does help for your product to actually exist. You can find out more about the company’s lidar platform here.
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Once you get up high enough, you don’t have to worry about a lot of the obstacles like pedestrians and traffic jams that plague autonomous cars. That’s why Sebastian Thrun, Google’s self-driving team founder turned CEO of flying vehicle startup Kitty Hawk, said onstage at TechCrunch Disrupt SF today that we should expect true autonomy to succeed in the air before the road.
“I believe we’re going to be done with self-flying vehicles before we’re done with self-driving cars,” Thrun told TechCrunch reporter Kirsten Korosec.
Why? “If you go a bit higher in the air then all the difficulties with not hitting stuff like children and bicycles and cars and so on just vanishes . . . Go above the buildings, go above the trees, like go where the helicopters are!” Thrun explained, but noted personal helicopters are so noisy they’re being banned in some places like Napa, Calif.
That proclamation has wide-reaching implications for how cities are planned and real estate is bought. We may need more vertical take-off helipads sooner than we needed autonomous car-only road lanes. More remote homes in the forest that have only a single winding road that reaches them like those in Big Sur, Calif. might suddenly become more accessible and thereby appealing to the affluent because they could just take a self-flying car to the city or office.
The concept could also have wide-reaching implications for the startup industry. Obviously Thrun’s own company, Kitty Hawk, would benefit from not being too early to market. Kitty Hawk announced its Heaviside vehicle today that’s designed to be ultra quiet. If the prophecy comes true, Uber, which is investing in vertical take-off vehicles, could also be in a better position than Lyft and other ride-hailing players focused on cars.
To make sure its vehicles don’t get banned and potentially pave the way for more aerial autonomy, Kitty Hawk recently recruited former FAA Administrator Mike Huerta as an advisor.
Eventually, Thrun says that because cars have to navigate indirect streets but in the air “we can go in a straight line, we believe we will be roughly a third of the energy cost per mile as Tesla.” And with shared UberPool-style flights, he sees the cost of energy getting down to just “$0.30 per mile.”
But in the meantime, Thrun is trying to get people, including me, to stop saying flying cars. “I personally don’t like the word ‘flying car,’ but it’s very catchy. The technical term is called eVTOL. These are typically electrically propelled vehicles, they can take off and land vertically, eVTOLs, vertical take-off landing, so that you don’t need an airport. And then they fly very much like a regular plane.” We’ll see if that mouthful catches on, and if the skies get more congested before the roads thin out.

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Voyage, the autonomous vehicle startup that spun out of Udacity, announced Thursday it has raised $31 million in a round led by Franklin Templeton.
Khosla Ventures, Jaguar Land Rover’s InMotion Ventures and Chevron Technology Ventures also participated in the round. The company, which operates a ride-hailing service in retirement communities using self-driving cars supported by human safety drivers, has raised a total of $52 million since launching in 2017. The new funding includes a $3 million convertible note.
Voyage CEO Oliver Cameron has big plans for the fresh injection of capital, including hiring and expanding its fleet of self-driving Chrysler Pacifica minivans, which always have a human safety driver behind the wheel.
Ultimately, the expanded G2 fleet and staff are just the means toward Cameron’s grander mission to turn Voyage into a truly driverless and profitable ride-hailing company.
“It’s not just about solving self-driving technology,” Cameron told TechCrunch in a recent interview, explaining that a cost-effective vehicle designed to be driverless is the essential piece required to make this a profitable business.
The company is in the midst of a hiring campaign that Cameron hopes will take its 55-person staff to more than 150 over the next year. Voyage has had some success attracting high-profile people to fill executive-level positions, including CTO Drew Gray, who previously worked at Uber ATG, Otto, Cruise and Tesla, as well as former NIO and Tesla employee Davide Bacchet as director of autonomy.
Funds will also be used to increase its fleet of second-generation self-driving cars (called G2) that are currently being used in a 4,000-resident retirement community in San Jose, Calif., as well as The Villages, a 40-square-mile, 125,000-resident retirement city in Florida. Voyage’s G2 fleet has 12 vehicles. Cameron didn’t provide details on how many vehicles it will add to its G2 fleet, only describing it as a “nice jump that will allow us to serve consumers.”
Voyage used the G2 vehicles to create a template of sorts for its eventual driverless vehicle. This driverless product — a term Cameron has used in a previous post on Medium — will initially be limited to 25 miles per hour, which is the driving speed within the two retirement communities in which Voyage currently tests and operates. The vehicle might operate at a low speed, but they are capable of handling complex traffic interactions, he wrote.
“It won’t be the most cost-effective vehicle ever made because the industry still is in its infancy, but it will be a huge, huge, huge improvement over our G2 vehicle in terms of being be able to scale out a commercial service and make money on each ride,” Cameron said.
Voyage initially used modified Ford Fusion vehicles to test its autonomous vehicle technology, then introduced in July 2018 Chrysler Pacifica minivans, its second generation of autonomous vehicles. But the end goal has always been a driverless product.
TechCrunch previously reported that the company has partnered with an automaker to provide this next-generation vehicle that has been designed specifically for autonomous driving. Cameron wouldn’t name the automaker. The vehicle will be electric and it won’t be a retrofit like the Chrysler Pacifica Hybrid vehicles Voyage currently uses or its first-generation vehicle, a Ford Fusion.
Most importantly, and a detail Cameron did share with TechCrunch, is that the vehicle it uses for its driverless service will have redundancies and safety-critical applications built into it.
Voyage also has deals in place with Enterprise rental cars and Intact insurance company to help it scale.
“You can imagine leasing is much more optimal than purchasing and owning vehicles on your balance sheet,” Cameron said. “We have those deals in place that will allow us to not only get the vehicle costs down, but other aspects of the vehicle into the right place as well.”
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Earlier this month, TechCrunch held its inaugural Mobility Sessions event, where leading mobility-focused auto companies, startups, executives and thought leaders joined us to discuss all things autonomous vehicle technology, micromobility and electric vehicles.
Extra Crunch is offering members access to full transcripts of key panels and conversations from the event, such as Megan Rose Dickey‘s chat with Voyage CEO and co-founder Oliver Cameron and Uber’s prediction team lead Clark Haynes on the ethical considerations for autonomous vehicles.
Megan, Oliver and Clark talk through how companies should be thinking about ethics when building out the self-driving ecosystem, while also diving into the technical aspects of actually building an ethical transportation product. The panelists also discuss how their respective organizations handle ethics, representation and access internally, and how their approaches have benefited their offerings.
Clark Haynes: So we as human drivers, we’re naturally what’s called foveate. Our eyes go forward and we have some mirrors that help us get some situational awareness. Self-driving cars don’t have that problem. Self-driving cars are designed with 360-degree sensors. They can see everything around them.
But the interesting problem is not everything around you is important. And so you need to be thinking through what are the things, the people, the actors in the world that you might be interacting with, and then really, really think through possible outcomes there.
I work on the prediction problem of what’s everyone doing? Certainly, you need to know that someone behind you is moving in a certain way in a certain direction. But maybe that thing that you’re not really certain what it is that’s up in front of you, that’s the thing where you need to be rolling out 10, 20 different scenarios of what might happen and make certain that you can kind of hedge your bets against all of those.
For access to the full transcription below and for the opportunity to read through additional event transcripts and recaps, become a member of Extra Crunch. Learn more and try it for free.
Megan Rose Dickey: Ready to talk some ethics?
Oliver Cameron: Born ready.
Clark Haynes: Absolutely.
Rose Dickey: I’m here with Oliver Cameron of Voyage, a self-driving car company that operates in communities, like retirement communities, for example. And with Clark Haynes of Uber, he’s on the prediction team for autonomous vehicles.
So some of you in the audience may remember, it was last October, MIT came out with something called the moral machine. And it essentially laid out 13 different scenarios involving self-driving cars where essentially someone had to die. It was either the old person or the young person, the black person, or the white person, three people versus one person. I’m sure you guys saw that, too.
So why is that not exactly the right way to be thinking about self-driving cars and ethics?
Haynes: This is the often-overused trolley problem of, “You can only do A or B choose one.” The big thing there is that if you’re actually faced with that as the hardest problem that you’re doing right now, you’ve already failed.
You should have been working harder to make certain you never ended up in a situation where you’re just choosing A or B. You should actually have been, a long time ago, looking at A, B, C, D, E, F, G, and like thinking through all possible outcomes as far as what your self-driving car could do, in low probability outcomes that might be happening.
Rose Dickey: Oliver, I remember actually, it was maybe a few months ago, you tweeted something about the trolley problem and how much you hate it.
Cameron: I think it’s one of those questions that doesn’t have an ideal answer today, because no one’s got self-driving cars deployed to tens of thousands of people experiencing these sorts of issues on the road. If we did an experiment, how many people here have ever faced that conundrum? Where they have to choose between a mother pushing a stroller with a child and a regular, normal person that’s just crossing the road?
Rose Dickey: We could have a quick show of hands. Has anyone been in that situation?
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Earlier this month, TechCrunch held its annual Mobility Sessions event, where leading mobility-focused auto companies, startups, executives and thought leaders joined us to discuss all things autonomous vehicle technology, micromobility and electric vehicles.
Extra Crunch is offering members access to full transcripts key panels and conversations from the event, including our panel on micromobility where TechCrunch VC reporter Kate Clark was joined by investors Sarah Smith of Bain Capital Ventures, Michael Granoff of Maniv Mobility, and Ted Serbinski of TechStars Detroit.
The panelists walk through their mobility investment theses and how they’ve changed over the last few years. The group also compares the business models of scooters, e-bikes, e-motorcycles, rideshare and more, while discussing Uber and Lyft’s role in tomorrow’s mobility ecosystem.
Sarah Smith: It was very clear last summer, that there was essentially a near-vertical demand curve developing with consumer adoption of scooters. E-bikes had been around, but scooters, for Lime just to give you perspective, had only hit the road in February. So by the time we were really looking at things, they only had really six months of data. But we could look at the traction and the adoption, and really just what this was doing for consumers.
At the time, consumers had learned through Uber and Lyft and others that you can just grab your cell phone and press a button, and that equates to transportation. And then we see through the sharing economy like Airbnb, people don’t necessarily expect to own every single asset that they use throughout the day. So there’s this confluence of a lot of different consumer trends that suggested that this wasn’t just a fad. This wasn’t something that was going to go away.
For access to the full transcription below and for the opportunity to read through additional event transcripts and recaps, become a member of Extra Crunch. Learn more and try it for free.
Kate Clark: One of the first panels of the day, I think we should take a moment to define mobility. As VCs in this space, how do you define this always-evolving sector?
Michael Granoff: Well, the way I like to put it is that there have been four eras in mobility. The first was walking and we did that for thousands of years. Then we harnessed animal power for thousands of years.
And then there was a date — and I saw Ken Washington from Ford here — September 1st, 1908, which was when the Model T came out. And through the next 100 years, mobility is really defined as the personally owned and operated individual operated internal combustion engine car.
And what’s interesting is to go exactly 100 years later, September 2008, the financial crisis that affects the auto industry tremendously, but also a time where we had the first third-party apps, and you had Waze and you had Uber, and then you had Lime and Bird, and so forth. And really, I think what we’re in now is the age of digital mobility and I think that’s what defines what this day is about.
Ted Serbinski: Yeah, I think just to add to that, I think mobility is the movement of people and goods. But that last part of digital mobility, I really look at the intersection of the physical and digital worlds. And it’s really that intersection, which is enabling all these new ways to move around.
Clark: So Ted you run TechStars Detroit, but it was once known as TechStars Mobility. So why did you decide to drop the mobility?
Serbinski: So I’m at a mobility conference, and we no longer call ourselves mobility. So five years ago, when we launched the mobility program at TechStars, we were working very closely with Ford’s group and at the time, five years ago, 2014, where it started with the connected car, auto and [people saying] “you should use the word mobility.”
And I was like “What does that mean?” And so when we launched TechStars Mobility, we got all this stuff but we were like “this isn’t what we’re looking for. What does this word mean?” And then Cruise gets acquired for a billion dollars. And everyone’s like “Mobility! This is the next big gold rush! Mobility, mobility, mobility!”
And because I invest early-stage companies anywhere in the world, what started to happen last year is we’d be going after a company and they’d say, “well, we’re not interested in your program. We’re not mobility.” And I’d be scratching my head like, “No, you are mobility. This is where the future is going. You’re this digital way of moving around. And no, we’re artificial intelligence, we’re robotics.”
And as we started talking to more and more entrepreneurs, and hundreds of startups around the world, it became pretty clear that the word mobility is actually becoming too limiting, depending on your vantage where you are in the world.
And so this year, we actually dropped the word mobility and we just call it TechStars Detroit, and it’s really just intersection of those physical and digital worlds. And so now we don’t have a word, but I think we found more mobility companies by dropping the word mobility.
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AutoX, the Hong Kong and San Jose, Calif.-based autonomous vehicle technology company, is pushing past its grocery delivery roots and into the AV supplier and robotaxi business.
And now, it’s taking its business to Europe.
AutoX has partnered with NEVS — the Swedish holding company and electric vehicle manufacturer that bought Saab’s assets out of bankruptcy — to deploy a robotaxi pilot service in Europe by the end of 2020. Under the exclusive partnership, AutoX will integrate its autonomous drive technology into a next-generation electric vehicle inspired by NEVS’s “InMotion” concept that was shown at CES Asia in 2017.
This next-generation vehicle is being developed by NEVS in Trollhättan, Sweden. Testing of the autonomous NEVs vehicles will begin in the third quarter of 2019. The vehicles will hit public roads in Europe next year, the companies said.
AutoX founder and CEO Jianxiong Xiao, commonly referred to as Professor X, noted that this particular vehicle is ideal for an autonomous taxi service because it is purpose-built for this specific application, doesn’t produce tailpipe emissions, can be used 24 hours a day and can help reduce the number of vehicles in the streets.
The companies ultimately want to deploy a large fleet of robotaxis globally.
The partnership with NEVs is the latest sign that AutoX has broader ambitions for its autonomous vehicle technology than delivery services. AutoX launched in 2016 and was initially focused on using self-driving vehicles for delivering packages, namely groceries. Last August, the startup kicked off a grocery delivery and mobile store pilot in a limited area in San Jose in partnership with GrubMarket.com and local high-end grocery store DeMartini Orchard.
But more recently, the company, which has raised about $58 million from venture and strategic investors, has expanded its plans. The company now wants to supply manufacturers with autonomous vehicle technology and launch its own robotaxi service.
In June, AutoX became the second company to receive permission from California regulators to transport passengers in its robotaxis. AutoX is calling its California robotaxi service xTaxi.
The California Public Utilities Commission has also granted Pony.ai, Waymo and Zoox permits to participate in the state’s Autonomous Vehicle Passenger Service pilot, which prohibits the companies from charging for these robotaxi rides.
Professor X has previously said his mission is to open up autonomous vehicles to everyone, and so this expansion shouldn’t come as a surprise. It’s a goal the company contends can be reached using economical (and better) hardware. The company does use light detection and ranging radar, known as lidar. But instead of loading up its self-driving vehicles with numerous expensive lidar units, AutoX relies more on cameras, which it argues have better resolution. The company’s proprietary AI algorithms tie everything together.
For now, the xTaxi pilot in California will be rather limited. It will operate in the same operational design domain as the delivery service in San Jose, an area of about five square miles. But the company clearly has ambitions to expand both in size and geographic reach. AutoX has more than 115 employees, and plans to hire more than 50 people this year.
The company is also working with San Jose city government to launch another pilot downtown. It has yet to reveal details, although the pilot could launch as early as next month.
AutoX also has a permit to operate a robotaxi service in Shenzhen, China. It’s not clear whether the company will operate this service on its own or follow the model it set in Europe with NEVS. It’s possible AutoX will partner with BYD in China. AutoX is already working with the Chinese company to integrate its AV tech into BYD vehicles.
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