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SpaceX customer reaffirms third Falcon Heavy mission’s Q2 2019 launch target

Falcon Heavy prepares for its inaugural February 2018 launch. (SpaceX)

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Taiwan’s National Space Organization (NSO) has reaffirmed a Q2 2019 launch target for SpaceX’s third-ever Falcon Heavy mission, a US Air Force-sponsored test launch opportunity known as Space Test Program 2 (STP-2).

Set to host approximately two dozen customer spacecraft, one of the largest and most monetarily significant copassengers riding on STP-2 is Formosat-7, a six-satellite Earth sensing constellation built with the cooperation of Taiwan’s NSO and the United States’ NOAA (National Oceanic and Atmospheric Administration) for around $105M. If successfully launched, Formosat-7 will dramatically expand Taiwan’s domestic Earth observation and weather forecasting capabilities, important for a nation at high risk of typhoons and flooding rains.

Although Taiwan officials were unable to offer a target more specific than Q2 2019 (April to June), it’s understood by way of NASA comments and sources inside SpaceX that STP-2’s tentative launch target currently stands in April. For a number of reasons, chances are high that that ambitious launch target will slip into May or June. Notably, the simple fact that Falcon Heavy’s next two launches (Arabsat 6A and STP-2) are scheduled within just a few months of each other almost singlehandedly wipes out any possibility that both Heavy launches will feature all-new side and center boosters, strongly implying that whichever mission flies second will be launching on three flight-proven boosters.

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Falcon Heavy’s first static fire, Feb. 2018. (SpaceX)

To further ramp up the difficulty (and improbability), those three flight-proven Block 5 boosters would have to launch as an integrated Falcon Heavy, safely land (two by landing zone, one by drone ship), be transported to SpaceX facilities, and finally be refurbished and reintegrated for their second launch in no more than 30 to 120 days from start to finish. SpaceX’s record for Falcon 9 booster turnaround (the time between two launches) currently stands at 72 days for Block 4 hardware and 74 days for Block 5, meaning that the company could effectively need to simultaneously break its booster turnaround record three times  in order to preserve a number of possible launch dates for both missions.

If it turns out the USAF is actually unwilling to fly its first Falcon Heavy mission on all flight-proven boosters (a strong possibility) or that that has never been the plan, STP-2’s claimed Q2 2019 target would likely have to slip several months into 2019. This would afford SpaceX more time and resources to build an extra three new Falcon Heavy boosters (two sides, one center), each of which requires a bare minimum of several weeks of dedicated production time and months of lead time (at least for the center core), all while preventing or significantly slowing the completed production of other new Falcon boosters.

The exact state of SpaceX’s Falcon 9 and Heavy production is currently unknown, with indications that the company might be building or have already finished core number B1055 or higher, but it’s safe to say that there is not exactly a lot of slack in the production lines in the first half of 2019. Most important, SpaceX likely needs to begin production of the human-rated Falcon 9 boosters that will ultimately launch the company’s first two crewed Crew Dragons as early as June and August, respectively.

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If the first Falcon 9 set to launch an uncrewed Crew Dragon (B1051) is anything to go off of, each human-rated Falcon 9 is put through an exceptionally time-consuming and strenuous range of tests to satisfy NASA’s requirements, requiring a considerable amount of extra resources (infrastructure, staff, time) to be produced and readied for launch. B1051 likely spent 3+ months in McGregor, Texas performing checks and one or several static fire tests, whereas a more normal Falcon booster typically spends no more than 3-6 weeks at SpaceX’s test facilities before shipping to its launch pad.

Ultimately, time will tell which hurdles the company’s executives (and hopefully engineers) have selected for its next two Falcon Heavy launches: an extraordinary feat of Falcon reusability or a Tesla-reminiscent period of Falcon production hell?


For prompt updates, on-the-ground perspectives, and unique glimpses of SpaceX’s rocket recovery fleet check out our brand new LaunchPad and LandingZone newsletters!

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Eric Ralph is Teslarati's senior spaceflight reporter and has been covering the industry in some capacity for almost half a decade, largely spurred in 2016 by a trip to Mexico to watch Elon Musk reveal SpaceX's plans for Mars in person. Aside from spreading interest and excitement about spaceflight far and wide, his primary goal is to cover humanity's ongoing efforts to expand beyond Earth to the Moon, Mars, and elsewhere.

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Tesla hints toward Premium Robotaxi offering with Model S testing

Why Tesla has chosen to use a couple of Model S units must have a reason; the company is calculated in its engineering and data collection efforts, so this is definitely more than “we just felt like giving our drivers a change of scenery.”

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Credit: Sawyer Merritt | X

Tesla Model S vehicles were spotted performing validation testing with LiDAR rigs in California today, a pretty big switch-up compared to what we are used to seeing on the roads.

Tesla utilizes the Model Y crossover for its Robotaxi fleet. It is adequately sized, the most popular vehicle in its lineup, and is suitable for a wide variety of applications. It provides enough luxury for a single rider, but enough room for several passengers, if needed.

However, the testing has seemingly expanded to one of Tesla’s premium flagship offerings, as the Model S was spotted with the validation equipment that is seen entirely with Model Y vehicles. We have written several articles on Robotaxi testing mules being spotted across the United States, but this is a first:

Why Tesla has chosen to use a couple of Model S units must have a reason; the company is calculated in its engineering and data collection efforts, so this is definitely more than “we just felt like giving our drivers a change of scenery.”

It seems to hint that Tesla could add a premium, more luxury offering to its Robotaxi platform eventually. Think about it: Uber has Uber Black, Lyft has Lyft Black. These vehicles and services are associated with a more premium cost as they combine luxury models with more catered transportation options.

Tesla could be testing the waters here, and it could be thinking of adding the Model S to its fleet of ride-hailing vehicles.

Reluctant to remove the Model S from its production plans completely despite its low volume contributions to the overall mission of transitioning the world to sustainable energy, the flagship sedan has always meant something. CEO Elon Musk referred to it, along with its sibling Model X, as continuing on production lines due to “sentimental reasons.”

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However, its purpose might have been expanded to justify keeping it around, and why not? It is a cozy, premium offering, and it would be great for those who want a little more luxury and are willing to pay a few extra dollars.

Of course, none of this is even close to confirmed. However, it is reasonable to speculate that the Model S could be a potential addition to the Robotaxi fleet. It’s capable of all the same things the Model Y is, but with more luxuriousness, and it could be the perfect addition to the futuristic fleet.

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Rivian unveils self-driving chip and autonomy plans to compete with Tesla

Rivian, a mainstay in the world of electric vehicle startups, said it plans to roll out an Autonomy+ subscription and one-time purchase program, priced at $49.99 per month and $2,500 up front, respectively, for access to its self-driving suite.

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Credit: Rivian

Rivian unveiled its self-driving chip and autonomy plans to compete with Tesla and others at its AI and Autonomy Day on Thursday in Palo Alto, California.

Rivian, a mainstay in the world of electric vehicle startups, said it plans to roll out an Autonomy+ subscription and one-time purchase program, priced at $49.99 per month and $2,500 up front, respectively, for access to its self-driving suite.

CEO RJ Scaringe said it will learn and become more confident and robust as more miles are driven and it gathers more data. This is what Tesla uses through a neural network, as it uses deep learning to improve with every mile traveled.

He said:

“I couldn’t be more excited for the work our teams are driving in autonomy and AI. Our updated hardware platform, which includes our in-house 1600 sparse TOPS inference chip, will enable us to achieve dramatic progress in self-driving to ultimately deliver on our goal of delivering L4. This represents an inflection point for the ownership experience – ultimately being able to give customers their time back when in the car.”

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At first, Rivian plans to offer the service to personally-owned vehicles, and not operate as a ride-hailing service. However, ride-sharing is in the plans for the future, he said:

“While our initial focus will be on personally owned vehicles, which today represent a vast majority of the miles to the United States, this also enables us to pursue opportunities in the rideshare space.”

The Hardware

Rivian is not using a vision-only approach as Tesla does, and instead will rely on 11 cameras, five radar sensors, and a single LiDAR that will face forward.

It is also developing a chip in-house, which will be manufactured by TSMC, a supplier of Tesla’s as well. The chip will be known as RAP1 and will be about 50 times as powerful as the chip that is currently in Rivian vehicles. It will also do more than 800 trillion calculations every second.

RAP1 powers the Autonomy Compute Module 3, known as ACM3, which is Rivian’s third-generation autonomy computer.

ACM3 specs include:

  • 1600 sparse INT8 TOPS (Trillion Operations Per Second).
  • The processing power of 5 billion pixels per second.
  • RAP1 features RivLink, a low-latency interconnect technology allowing chips to be connected to multiply processing power, making it inherently extensible.
  • RAP1 is enabled by an in-house developed AI compiler and platform software

As far as LiDAR, Rivian plans to use it in forthcoming R2 cars to enable SAE Level 4 automated driving, which would allow people to sit in the back and, according to the agency’s ratings, “will not require you to take over driving.”

More Details

Rivian said it will also roll out advancements to the second-generation R1 vehicles in the near term with the addition of UHF, or Universal Hands-Free, which will be available on over 3.5 million miles of roadway in the U.S. and Canada.

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Rivian will now join the competitive ranks with Tesla, Waymo, Zoox, and others, who are all in the race for autonomy.

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Tesla partners with Lemonade for new insurance program

Tesla recently was offered “almost free” coverage for Full Self-Driving by Lemonade’s Shai Wininger, President and Co-founder, who said it would be “happy to explore insuring Tesla FSD miles for (almost) free.”

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Credit: Tesla

Tesla owners in California, Oregon, and Arizona can now use Lemonade Insurance, the firm that recently said it could cover Full Self-Driving miles for “almost free.”

Lemonade, which offered the new service through its app, has three distinct advantages, it says:

  • Direct Connection for no telematics device needed
  • Better customer service
  • Smarter pricing

The company is known for offering unique, fee-based insurance rates through AI, and instead of keeping unclaimed premiums, it offers coverage through a flat free upfront. The leftover funds are donated to charities by its policyholders.

On Thursday, it announced that cars in three states would be able to be connected directly to the car through its smartphone app, enabling easier access to insurance factors through telematics:

Tesla recently was offered “almost free” coverage for Full Self-Driving by Lemonade’s Shai Wininger, President and Co-founder, who said it would be “happy to explore insuring Tesla FSD miles for (almost) free.”

The strategy would be one of the most unique, as it would provide Tesla drivers with stable, accurate, and consistent insurance rates, while also incentivizing owners to utilize Full Self-Driving for their travel miles.

Tesla Full Self-Driving gets an offer to be insured for ‘almost free’

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This would make FSD more cost-effective for owners and contribute to the company’s data collection efforts.

Data also backs Tesla Full Self-Driving’s advantages as a safety net for drivers. Recent figures indicate it was nine times less likely to be in an accident compared to the national average, registering an accident every 6.36 million miles. The NHTSA says a crash occurs approximately every 702,000 miles.

Tesla also offers its own in-house insurance program, which is currently offered in twelve states so far. The company is attempting to enter more areas of the U.S., with recent filings indicating the company wants to enter Florida and offer insurance to drivers in that state.

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