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Mobileye CTO on Building Autonomous Driving Systems

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Autonomous driving system

Mobileye autonomous driving systems

Professor Amnon Shashua, co-founder and CTO of Mobileye, gave a talk recently explaining how his company builds its autonomous driving systems. One point he emphasizes is that identifying other vehicles and people in the vicinity of the car is the easy part. What’s difficult to achieve is controlling the car so that it stays within the limits of the roadway, especially when road markings, curbs, and other indications of where the physical edges of the permissible driving space are lacking.

Shashua breaks the process into three main components — sensing, road experience management, and driving policy, which he calls “planning.” The first collates all the data coming into the system from cameras, radar, and, in some cases, Lidar. The second phase creates an environmental model that orients the car and determines its place on the road. The third phase uses all the prior information to determine all the available pathways forward and which is preferred.

Next, he goes on to speak in detail about what he calls “deep learning.” Shashua says despite its current popularity, there is a great deal of hype surrounding it. He explains why some aspects of deep learning fail to give the zero failure results required to make accurate autonomous driving possible. In particular, he shows why what he calls the “end to end approach” does not live up to its promise.

Mobileye autonomous driving

He prefers what he calls “semantic abstraction,” a process that breaks down the tasks the system must perform into discrete subsystems, each with its own function to perform. He feels the latter is more accurate and gives the fewest false positives or false negatives. The end to end system does not require image annotations, but Shashua says Mobileye has 600 people on staff annotating images and expects to have 1,000 or more shortly.

What is important, Shushua maintains, is dealing with what he calls “corner cases.” These are the anomalies that happen in regular driving that are rare, unexpected, or unusual — like a construction vehicle moving slowly near a highway. It is those corner cases that require the most sophisticated technological solutions and the types of situations that end to end systems do not handle well.

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Watch the entire 30 minute video for yourself to learn more about some of the elements that go into Tesla’s Autopilot technology.

Source: Mobileye via YouTube
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Tesla launches new color from Gigafactory Berlin

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Credit: Tesla

Tesla has launched a new color at Gigafactory Berlin in Germany, home of the company’s “world-class paint shop,” as Elon Musk once called it.

Bringing a new color to Tesla’s Model Y, there are now five available colors for those who will receive a vehicle from Gigafactory Berlin, with four of them being colors offered in other markets.

However, there is now one distinct color that is only available in Germany: Marine Blue.

Priced at €1,300, Marine Blue will cost the same as both Diamond Black and Stealth Grey, while Quicksilver and Ultra Red are available for double the price.

It is the third shade of blue Tesla offers across its lineup, as Deep Metallic Blue and Glacier Blue are also offered, but in other markets.

Tesla has routinely flexed Giga Berlin for having the most advanced paint shop throughout its factories, and it has produced some interesting colors over the past few years, some of which were truly awesome.

Tesla Giga Berlin is getting a world-class paint shop, new color ‘layers’ to come

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In 2020, Musk said, “Giga Berlin will have the world’s most advanced paint shop, with more layers of stunning colors that subtly change with curvature.”

He also detailed the company’s plans to upgrade the Fremont and Shanghai paint shops. Gigafactory Texas was not yet unveiled. Tesla has worked to improve those facilities, especially in Fremont.

It was able to roll out the new Diamond Black color earlier this year.

However, Giga Berlin seems to remain the standard in terms of paint for Tesla. It routinely offers new colors.

For example, back in 2022, Tesla rolled out its familiar Quicksilver color for the Model Y, while also introducing Midnight Cherry Red, a color close to burgundy. However, the company chose to discontinue the color after determining internally that customers no longer wanted to buy it.

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Midnight Cherry Red was removed as an option earlier this year, likely to make way for the development of the new Marine Blue.

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Tesla Autopilot visualization gets big upgrade with tons of new additions

The AP visualization shows up on the center touchscreen and illustrates the surroundings of the cars. It has gotten better in recent years, as it is able to outline types of vehicles, pedestrians, animals, and more.

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Credit: @greentheonly | X

Tesla’s Autopilot visualization just got a big upgrade as the company added tons of new additions to what it will be able to render in terms of a vehicle’s surroundings.

The AP visualization shows up on the center touchscreen and illustrates the surroundings of the cars. It has gotten better in recent years, as it is able to outline types of vehicles, pedestrians, animals, and more.

Tesla just fixed a four-year-old bug with Full Self-Driving visualization

However, it still does not have every single application, and acquiring them will take some time. If an object or vehicle is visible to the vehicle but an accurate render is not available, the car will instead pick whatever is closest.

For example, I passed an Amish family yesterday in Lancaster, PA, and instead of illustrating the horse and carriage, it simply showed a small box truck.

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In an effort to make the Autopilot and Full Self-Driving suites more robust and accurate, Tesla has added a substantial amount of vehicle renders, which will become available in the coming weeks.

The visualizations were found by Tesla hacker @greentheonly, who posted them on X.

The new visualization renders are:

  • Ambulance
  • Firetruck
  • Garbage Truck
  • Schoolbus
  • European Semi Truck
  • Golf Cart
  • Person on a Scooter
  • Person on a Skateboard
  • Stroller
  • Street Sweeper
  • Three-Wheeler
  • Trailer
  • Train
  • Tram
  • Person in a Wheelchair

Here is an image with all of the Autopilot visualization renders:

Credit: Green

The visualization is a crucial part of manual operation and can be considered a distinct advantage that Tesla has over other companies.

It continues to be an effort that Tesla invests heavily in, as it keeps refining the suite and making it more robust with additional visualizations and animations.

Recently, it was revealed that Tesla is planning to utilize Unreal Engine for driver visualization to create a realistic depiction of the vehicle’s environment. Tesla has not yet confirmed this, but coding found with the Model S and Model X showed it could be coming in the near future.

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Tesla dominates best-selling EVs in Q3, but there’s one disappointment

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(Credit: Tesla)

Tesla dominated the sales figures for electric vehicles in the third quarter in the United States, but there was one disappointment: the Cybertruck.

As a whole, the EV industry benefitted from the loss of the $7,500 EV tax credit in Q3, which was something many expected. As the credit expired, consumers rushed to showrooms to take the credit and remove $7,500 from the purchase price of their new vehicle.

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

It was a very interesting time for many companies as they scrambled to figure out how to push as many vehicles out the door as they could in preparation for the tax credit’s removal. In typical fashion, Tesla was able to top every manufacturer and secure a dominating portion of the overall market in Q3.

However, some other OEMs pulled out some surprises, including Chevrolet, Honda, and Ford, which managed to get two vehicles in the top 10, as many as Tesla.

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Cox Automotive compiled the data in its Q3 Electric Vehicle Sales Report:

  1. Tesla Model Y – 114,897
  2. Tesla Model 3 – 53,857
  3. Chevrolet Equinox EV – 25,085
  4. Hyundai Ioniq 5 – 21,999
  5. Honda Prologue – 20,236
  6. Ford Mustang Mach-E – 20,177
  7. Volkswagen ID.4 – 12,470
  8. Audi Q6 e-tron – 10,299
  9. Ford F-150 Lightning – 10,005
  10. Rivian R1S – 8,184

10.5 percent of the automotive sales in the U.S. in Q3 were electric, a new record that surpasses that of Q3 2024, where the total share of sales for EVs was 8.6 percent.

Now, the disappointment that is evident from this list is the fact that there is no Tesla Cybertruck listed. That’s because it was the second-best-selling EV pickup on the market. The company sold 5,385 Cybertruck units in Q3.

The Cybertruck has been a vehicle that has confused many Tesla fans and owners, especially considering the company had such stratospheric expectations for the vehicle while it was in development. Reservation trackers had the truck sitting between one million and two million orders, but it has not lived up to that.

Pricing is the main issue with Cybertruck. Tesla introduced the pickup with Single, Dual, and Tri-motor configurations, priced at $39,990, $49,990, and $69,990. Those price points are simply a thing of the past.

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