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Tesla Week in Review; Here’s What Happened, January 14

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It’s been a dynamic news cycle this week at Tesla. Here are summaries as well as links to this week’s top stories as reported on Teslarati, in case you missed them.

Increasing Tesla Supercharger capacity has become ‘top priority,’ says Musk

Large queue forming at popular Barstow Supercharger located between Los Angeles and Las Vegas

Musk acknowledged on Twitter that some of the busier Supercharger locations are “overflowing” while others nearby remain empty. To address the issue, Tesla will focus on the expansion of Supercharger stalls at existing locations. With the Model 3 anticipated to see production levels of nearly 500k per year when full ramp is achieved, concerns over Supercharger crowding are top-of-mind among many existing Tesla owners.

Ultra-fast charging networks to challenge Tesla Superchargers

Tucumcari Supercharger in New Mexico [Credit: Marcos]

European automakers are about to make a major commitment to developing an ultra-fast charging network that can rival that of Tesla’s Supercharger network. Reuters reports that Daimler, BMW, Volkswagen and American automaker, Ford, plan to build 400 ultra-fast charging stations in Europe that will be capable of power levels triple that of Tesla’s existing fast-charging Supercharger stations.

Tesla picks up Apple veteran to lead Autopilot Software team

Chris Lattner will be joining Tesla as the new Vice President of Autopilot Software. Lattner was an Apple veteran, having worked at the Silicon Valley tech giant for 11 years. He was largely credited with the creation of Apple’s Swift programming language used for building apps. The addition of Lattner represents a major victory for the electric car company at a time when Tesla is advancing on its Enhanced Autopilot feature. Autopilot aims to bring Model S and Model X vehicles equipped with Autopilot 2.0 hardware to feature parity with first generation Autopilot cars. Tesla’s latest software update is a first iteration towards its Autosteer driving-assist feature, but the company’s ultimate goal is to achieve full autonomy through Autopilot 2.0’s Full Self-Driving capabilities.

Tesla Model X cited as “most significant vehicle,” by growth contribution to record 2016 PEV sales

Electric and plug-in hybrid car sales established new sales records in 2016, with the Tesla Model X earning the title of “most significant vehicle.” EV Volumes cites the Model X for its contribution to the growth of plug-in car sales in the US this past year. “The volume increase in 2016 can be attributed to Tesla (+95 % for S & X combined), the new GM Volt (+61 %), Ford Fusion (+63 %) and a number of newcomers, mostly in the Plug-in Hybrid category. By its growth contribution, the Tesla Model X must be regarded the most significant vehicle this year.”

Panasonic to hold job fair for Tesla’s Gigafactory ahead of Model 3 battery production

Drone video of Tesla’s Gigafactory shows the battery factory more than doubling in size

Panasonic is holding a hiring event Saturday, January 14 for positions at Tesla’s Gigafactory in Sparks, NV. Panasonic is looking to fill the following roles at its $5 billion battery facility. Read more.

Tesla completes 1,000-mile long Supercharger corridor in Australia

Tesla Model S and Model X owners can now take an electrified journey from Melbourne to Brisbane using nothing but the company’s fast-charging Supercharger network. The California-based electric car maker has announced the arrival of three new charging stations in Knockrow, Heatherbrae and Coffs Harbour, creating a Supercharger corridor 1,000 miles long (1,600 kilometers) connecting two major Australian cities. Read more.

 

Carolyn Fortuna is a writer and researcher with a Ph.D. in education from the University of Rhode Island. She brings a social justice perspective to environmental issues. Please follow me on Twitter and Facebook and Google+

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Tesla briefly offered this Robotaxi part for your personal car

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Credit: @tpgoebel | X

Tesla briefly offered one Robotaxi part in its Parts Catalog for your personal car, only to remove it just a short time after it was first noticed.

Tesla’s Robotaxi camera washer apparatus was briefly available for purchase on the company’s Online Parts Catalog. The camera washer was first noticed on Model Y Robotaxi vehicles about six months ago in Austin.

First noticed by Not a Tesla App, the Camera Washer entries appeared for the new “Juniper” Model Y under a category called “Halo,” which has also now disappeared. Interestingly, Halo probably is related to Tesla’s internal “Project Halo,” which was a project that aimed to retrofit customer-owned Model Ys into functional Robotaxis.

This hardware addition would likely be required for the vehicle to operate as a Robotaxi, as the Camera Washer seems to be a non-negotiable part of the vision-based system Tesla utilizes for self-driving efforts.

However, this part has since been removed and is no longer visible on the EPC.

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Now the true question lingers: Why would Tesla add this Camera Washer to the Model Y parts catalog? Is it planning to make it available for owners to utilize on their own cars for personal use, or will it become a prerequisite for Robotaxi operation in customer-owned cars?

While discussing the upgrade options for Hardware 3 vehicles during the Q1 Earnings Call, Tesla CEO Elon Musk had said that the company could establish small, satellite shops that would upgrade cameras and self-driving computers. Perhaps this same strategy could be utilized for vehicles that want to be included in Robotaxi but do not have the correct hardware.

AI4 is currently represented as capable of unsupervised self-driving, and the same was said about HW3 at one point, only for Tesla to admit last quarter that it would, unfortunately, not be possible. Perhaps AI4 vehicles might need this camera washer as a prerequisite, just as HW3 cars will need that camera and computer upgrade.

This could be the first hint of that’s where we are headed.

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Tesla Robotaxi gets sweeping but polarizing change

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Credit: Tesla

Tesla has started rolling out a broader change to the ride experience for its Robotaxi fleet by silencing turn signals, but the change is certainly polarizing.

Tesla has generally made it clear that its purpose-built ride-hailing platform, Robotaxi, will cater to the rider in nearly every way possible. This includes having climate preferences, music, and other personal settings loaded up in the car as the rider enters.

But Tesla is taking it a step further by muting turn signal chimes altogether, a change that appears to be a way to make the ride more peaceful:

However, there are a handful of people who are not thrilled about this change. Turn signals are a conditioned part of the human mind for those who ride in a car regularly.

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Taking a turn without one feels strange and odd, and not hearing it click while activated could set off some alarms for riders, who might use the noise as confirmation that other drivers know of their intention to turn.

Turn signal noises are still audible in customer cars, so if you use FSD in your personal vehicle, you will still hear the turn signal.

The move is certainly one that is unique, but not one that separates it from other ride-sharing services. In a normal car, the clicking sound confirms to the driver that the blinker is active. In a fully driverless Robotaxi, that feedback serves no purpose for passengers, other than peace of mind.

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Tesla Full Self-Driving v14.3.6 review: a rare regression, but some bright spots

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Credit: Tesla

Tesla released Full Self-Driving version 14.3.6 last week, and after what was potentially one of the best FSD releases in v14.3.5, there has been a bit of a regression. While there are some bright spots, the changes made to v14.3.6 seem to have backtracked some behaviors.

Overall, it is hard to really complain about FSD in any sense; it has revolutionized how I travel literally anywhere. According to my self-driving app, the last time I went a day without using it was 59 days ago.

However, I think it’s also important to recognize when things are just plain bad with FSD. There are times it does truly mind-boggling things, and I’ll dive into those here. Additionally, I only had these issues on local roads, not on highways. Highway operation, generally, is always incredible other than the occasional complaint about speed or left lane camping.

With those things being said, my personal experience may not represent others’ experiences. A handful of people have said they have had a similar experience on v14.3.6, while others have said it is more than normal.

Turning Hesitancy, Inaccuracy

I’ve noticed more inaccuracy turning into multi-lane stretches of road than in any version I can remember. I’ve had at least three instances of FSD turning into a stretch of roadway that has two or more lanes, and not selecting a lane confidently as it has in past versions.

Instead, the car will drive over one of the dashed road lines, and the steering wheel will jerk back and forth before picking the lane. It should be said that it has always picked the correct lane when choosing based on the navigation, but it is still very indecisive. The steering wheel jerking is reminiscent of some of the later versions of v13.

I admit I really hate to see the steering wheel jerking come back. However, I think when Tesla releases v14.3.7, it won’t be present. When there are occurrences of it in FSD versions, it is usually resolved by the following release.

FSD Disregards Manual Turn Signals

This is my biggest bone to pick with FSD other than Navigation issues, but this one seems like it would be such an easy fix.

If Tesla is going to put the word “Supervised” on the end of “Full Self-Driving,” then when I tell the car to do something, it should do it. If I input an increase in speed by pressing the accelerator, the car will immediately respond. It does not disregard my input because it feels it is traveling at the right speed.

FSD should never disobey and turn off turn signals that the driver inputs. Trying to direct the car into the correct lane, I had initiated the left turn signal not once, not twice, but three times, with the car turning it off all three times and continuing in a lane that would end in just one block. The only solution at this point would be to zipper merge.

This goes back to the fact that self-driving’s biggest bottleneck might be rider preference. A zipper merge might have been more than reasonable, might have saved me time that I spent sitting through an additional light cycle, and might be something many drivers would do. I was in no hurry, I traditionally do not try to zipper merge because it feels inconsiderate, and lastly, the car should have just followed my input.

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This caused me to disengage and drive manually the rest of the way home. Sometimes I just do not need FSD to try to pass every car it can at intersections.

Bird Braking is a Thing of the Past

The big complaint with recent versions of Full Self-Driving has been what we’ve coined as “bird braking,” which is when the car will brake suddenly as a bird flies past.

There have been zero issues with this so far in v14.3.6, which is an excellent improvement.

FSD Might Already Be Taking Note of Driver Preferences

Another thing I have noticed over the past few days is that v14.3.6 seems to already be taking my preferences with navigation into account.

This is something that is supposed to be rolling out with the Summer Update, but I have a hunch it’s already present and might have been included in this v14.3.6 build. On Friday, FSD pulled into an entrance to a local convenience store that it had never attempted to go into before.

Typically, I manually pull into this entrance because it avoids heavy cross traffic at the main entrance. FSD has always chosen that congested main entrance.

Additionally, FSD has pulled into my assigned parking spot at my townhouse community on multiple occasions with this release. This is something that used to happen ocassionally, but not consistently.

It also navigated back to the same convenience store last night, drove through crazy cars scrambling to gas pumps, navigated out of the parking lot correctly, drove me home, and, once again, parked in my assigned spot.

As previously stated, this release just seems to have a few things that need to be brought to Tesla’s attention, and also to make others who use FSD aware of some things that I’ve experienced. I look forward to the next release that will remedy these issues, just as Tesla has always done in the past.

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