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GM’s new autonomous driving system follows Mercedes, not Tesla

Credit: GM - Cadillac Celestiq

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General Motors (GM) has announced some crucial details about its upcoming Ultra Cruise autonomous driving system.

With the mass proliferation of autonomous driving, thanks largely to Tesla, more and more companies have begun working on their own systems. This includes GM, which has already released its Super Cruise system but has now released details about its next iteration, Ultra Cruise.

In the design process of autonomous systems, two leaders with two very different design philosophies have emerged. Tesla is the first, heavily relying on AI while focusing on visual sensor systems to guide the vehicle. This has been seen most clearly in Tesla’s upcoming hardware 4, which eliminates ultra-sonic sensors, instead opting to dramatically increase the quality of the visual sensing systems around the vehicle. The second camp is currently headed by Mercedes.

Mercedes has taken the complete opposite approach to Tesla. While still relying on AI guidance, Mercedes uses a combination of three different sensor arrays, visual, ultra-sonic, and LiDAR, to help guide the vehicle.

That takes us to GM’s Ultra Cruise, which was revealed in detail today. Much like Mercedes, GM has chosen to use three sensor arrays; visual, ultra-sonic, and LiDAR. Further emulating the premium German auto group, GM’s system “will have a 360-degree view of the vehicle,” according to the automaker.

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According to GM, this architecture allows redundancy and sensor specialization, whereby each sensor group will help focus on a single task. The camera and short-range ultra-sonic radar systems focus on object detection, primarily at low speeds and in urban environments. These systems will help the vehicle detect other vehicles, traffic signals and signs, and pedestrians. At higher speeds, the long-range radar and LiDAR systems also come into play, helping to detect vehicles and road features from further away.

GM also points out that, thanks to the capabilities of radar and LiDAR systems in poor visibility conditions, the system benefits from better overall uptime. GM aims to create an autonomous driving system allowing hands-free driving in 95% of situations.

As for the Tesla approach, the leader in autonomous driving certainly has credibility in its design. According to Tesla’s blog post about removing the ultra-sonic sensor capabilities from its vehicles, “Tesla Vision” equipped vehicles perform just as well, if not better, in tests like the pedestrian automatic emergency braking (AEB) test. Though it should be noted that the lack of secondary sensors is also likely to help reduce vehicle manufacturing costs.

Ultra Cruise will first be available on the upcoming Cadillac Celestiq. Still, with a growing number of vehicles coming with GM’s Super Cruise, it’s likely only a matter of time before the more advanced ADAS system makes its way to mass market offerings as well.

“GM’s fundamental strategy for all ADAS features, including Ultra Cruise, is safely deploying these technologies,” said Jason Ditman, GM chief engineer, Ultra Cruise. “A deep knowledge of what Ultra Cruise is capable of, along with the detailed picture provided by its sensors, will help us understand when Ultra Cruise can be engaged and when to hand control back to the driver. We believe consistent, clear operation can help build drivers’ confidence in Ultra Cruise.”

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With more and more automakers entering the autonomous driving space every year, it will be interesting to see which architecture they choose to invest in. But what could prove to be the defining trait is which system performs better in the real world. And as of now, it isn’t immediately clear who the victor is.

What do you think of the article? Do you have any comments, questions, or concerns? Shoot me an email at william@teslarati.com. You can also reach me on Twitter @WilliamWritin. If you have news tips, email us at tips@teslarati.com!

Will is an auto enthusiast, a gear head, and an EV enthusiast above all. From racing, to industry data, to the most advanced EV tech on earth, he now covers it at Teslarati.

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Tesla launches its coolest gift idea ever just a few weeks after it was announced

“Gift one month of Full Self-Driving (Supervised), which allows the vehicle to drive itself almost anywhere with minimal intervention.”

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Credit: Tesla

Tesla has launched its coolest gift idea ever, just a few weeks after it was announced.

Tesla is now giving owners the opportunity to gift Full Self-Driving for one month to friends or family through a new gifting program that was suggested to the company last month.

The program will enable people to send a fellow Tesla owner one month of the company’s semi-autonomous driving software, helping them to experience the Full Self-Driving suite and potentially help Tesla gain them as a subscriber of the program, or even an outright purchase.

Tesla has officially launched the program on its Shop. Sending one month of Full Self-Driving costs $112:

“Gift one month of Full Self-Driving (Supervised), which allows the vehicle to drive itself almost anywhere with minimal intervention. All sales are final. Can only be purchased and redeemed in the U.S. This gift card is valued at $112.00 and is intended to cover the price of one month of FSD (Supervised), including up to 13% sales tax. It is not guaranteed to cover the full monthly price if pricing or tax rates change. This gift card can be stored in Tesla Wallet and redeemed toward FSD (Supervised) or any other Tesla product or service that accepts gift card payments.”

Tesla has done a great job of expanding Full Self-Driving access over the past few years, especially by offering things like the Subscription program, free trials through referrals, and now this gift card program.

Gifting Full Self-Driving is another iteration of Tesla’s “butts in seats” strategy, which is its belief that it can flip consumers to its vehicles and products by simply letting people experience them.

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There is also a reason behind pushing Full Self-Driving so hard, and it has to do with CEO Elon Musk’s compensation package. One tranche requires Musk to achieve a certain number of active paid Full Self-Driving subscriptions.

More people who try the suite are likely to pay for it over the long term.

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Tesla expands Robotaxi app access once again, this time on a global scale

Tesla said recently it plans to launch Robotaxi in Miami, Houston, Las Vegas, Phoenix, and Dallas.

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Credit: Grok

Tesla has expanded Robotaxi app access once again, but this time, it’s on a much broader scale as the company is offering the opportunity for those outside of North America to download the app.

Tesla Robotaxi is the company’s early-stage ride-hailing platform that is active in Texas, California, and Arizona, with more expansion within the United States planned for the near future.

Tesla said recently it plans to launch Robotaxi in Miami, Houston, Las Vegas, Phoenix, and Dallas.

The platform has massive potential, and Tesla is leaning on it to be a major contributor to even more disruption in the passenger transportation industry. So far, it has driven over 550,000 miles in total, with the vast majority of this coming from the Bay Area and Austin.

First Look at Tesla’s Robotaxi App: features, design, and more

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However, Tesla is focusing primarily on rapid expansion, but most of this is reliant on the company’s ability to gain regulatory permission to operate the platform in various regions. The expansion plans go well outside of the U.S., as the company expanded the ability to download the app to more regions this past weekend.

So far, these are the areas it is available to download in:

  • Japan
  • Thailand
  • Hong Kong
  • South Korea
  • Australia
  • Taiwan
  • Macau
  • New Zealand
  • Mexico
  • U.S.
  • Canada

Right now, while Tesla is focusing primarily on expansion, it is also working on other goals that have to do with making it more widely available to customers who want to grab a ride from a driverless vehicle.

One of the biggest goals it has is to eliminate safety monitors from its vehicles, which it currently utilizes in Austin in the passenger’s seat and in the driver’s seat in the Bay Area.

A few weeks ago, Tesla started implementing a new in-cabin data-sharing system, which will help support teams assist riders without anyone in the front of the car.

Tesla takes a step towards removal of Robotaxi service’s safety drivers

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As Robotaxi expands into more regions, Tesla stands to gain tremendously through the deployment of the Full Self-Driving suite for personal cars, as well as driverless Robotaxis for those who are just hailing rides.

Things have gone well for Tesla in the early stages of the Robotaxi program, but expansion will truly be the test of how things operate going forward. Navigating local traffic laws and gaining approval from a regulatory standpoint will be the biggest hurdle to jump.

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Investor's Corner

Tesla gets price target boost, but it’s not all sunshine and rainbows

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Credit: Tesla Europe & Middle East/X

Tesla received a price target boost from Morgan Stanley, according to a new note on Monday morning, but there is some considerable caution also being communicated over the next year or so.

Morgan Stanley analyst Andrew Percoco took over Tesla coverage for the firm from longtime bull Adam Jonas, who appears to be focusing on embodied AI stocks and no longer automotive.

Percoco took over and immediately adjusted the price target for Tesla from $410 to $425, and changed its rating on shares from ‘Overweight’ to ‘Equal Weight.’

Percoco said he believes Tesla is the leading company in terms of electric vehicles, manufacturing, renewable energy, and real-world AI, so it deserves a premium valuation. However, he admits the high expectations for the company could provide for a “choppy trading environment” for the next year.

He wrote:

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“However, high expectations on the latter have brought the stock closer to fair valuation. While it is well understood that Tesla is more than an auto manufacturer, we expect a choppy trading environment for the TSLA shares over the next 12 months, as we see downside to estimates, while the catalysts for its non-auto businesses appear priced at current levels.”

Percoco also added that if market cap hurdles are achieved, Morgan Stanley would reduce its price target by 7 percent.

Perhaps the biggest change with Percoco taking over the analysis for Jonas is how he will determine the value of each individual project. For example, he believes Optimus is worth about $60 per share of equity value.

He went on to describe the potential value of Full Self-Driving, highlighting its importance to the Tesla valuation:

“Full Self Driving (FSD) is the crown jewel of Tesla’s auto business; we believe that its leading-edge personal autonomous driving offering is a real game changer, and will remain a significant competitive advantage over its EV and non-EV peers. As Tesla continues to improve its platform with increased levels of autonomy (i.e., hands-off, eyes-off), it will revolutionize the personal driving experience. It remains to be seen if others will be able to keep pace.”

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Additionally, Percoco outlined both bear and bull cases for the stock. He believes $860 per share, “which could be in play in the next 12 months if Tesla manages through the EV-downturn,” while also scaling Robotaxi, executing on unsupervised FSD, and scaling Optimus, is in play for the bull case.

Will Tesla thrive without the EV tax credit? Five reasons why they might

Meanwhile, the bear case is placed at $145 per share, and “assumes greater competition and margin pressure across all business lines, embedding zero value for humanoids, slowing the growth curve for Tesla’s robotaxi fleet to reflect regulatory challenges in scaling a vision-only perception stack, and lowering market share and margin profile for the autos and energy businesses.”

Currently, Tesla shares are trading at around $441.

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