Tesla Vehicles Spotted With LiDAR: What Do They Use It For?

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Tesla recently hit the news for purchasing approximately $2M in LiDAR sensors from Luminar, one of Tesla’s long-term suppliers. You’ve probably seen photos of Tesla’s Semi and various Tesla models, including the Model 3 and Model Y sporting LIDAR equipment on the roof. These cars drive around with manufacturer plates scanning streets and highways.

However, many people confuse Tesla’s purpose in purchasing LiDAR equipment with using it for FSD versus testing. So, let’s look at what LiDAR is, and why Tesla uses it on its Fleet Validation Vehicles.

What is LiDAR?

LiDAR stands for Light Detecting and Ranging – essentially using lasers to measure distances. A laser pulse is sent out, and the time it takes to return is measured – providing extremely accurate distance measurements.

Some companies working on self-driving vehicles, including Waymo and BYD, use LiDAR as part of their self-driving suites, but Tesla is one of the few stand-outs that does not. Even Rimac’s “Verne” Robotaxi – which uses self-driving technology from Mobileye, also uses LiDAR.

While LiDAR can produce extremely accurate and high-quality 3D environments, it comes with its downsides as well. Not only is LiDAR costly and requires large gear strapped to a vehicle, but it also can not be used in bad weather and can have interference issues if there are other strong light sources present.

Why Does Tesla Use LiDAR?

A LiDAR rig mounted on a Tesla Semi for testing FSD.

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At Autonomy Day in 2019, Elon Musk mentioned that LiDAR isn’t the solution for self-driving cars – it's just a crutch. Thus, Tesla hasn’t used LiDAR for any production self-driving software.

Instead, Tesla uses it exactly how it's described – they use it to gather ground-truth data. This data is then used to feed Tesla’s Full Self Driving system – which helps validate its vision-only system's accuracy. LiDAR provides very accurate measurements to help ensure that FSD’s perception of space is accurate – and is only used by Tesla to ensure that its AI technology which is the brains of FSD is capable of accurately interpreting depth from just visual data.

Tesla’s vision-only system has been seen to be extremely accurate, with Vision-only Autopark being able to park in even narrower and tighter spaces faster than the previous version that relied on ultrasonic sensors.

We’ll likely continue to see Tesla purchase LiDAR systems, as well as use them for validation well into the future.

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A Look at Tesla's New AI Training Center at Giga Texas [VIDEO]

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Elon Musk provided a sneak peek into “Cortex”, Tesla’s new AI training center that has been under construction for quite a while at Giga Texas.

Previously, we saw some shots of the new wing for the massive water-cooled supercomputer cluster at Giga Texas, which was being built at the southern end of the Gigafactory.

AI4 Training

Cortex appears to be the name of the supercomputer cluster, and we can assume that it will be referred to that way from now on. Cortex will primarily focus on exploring and expanding FSD’s performance envelope to include AI4, which will begin to diverge from HW3 sometime soon. Tesla hasn’t yet unlocked the full potential of AI4, as it still runs HW3 in emulation mode, but with a few extra tricks that HW3 doesn’t have access to. These are mostly hardware compiler changes, but they make a significant difference in the speed of processing the AI model.

Tesla intends to continue supporting HW3, but it's already apparent that the FSD model for HW3 is smaller than the model for AI4. However, Ashok Elluswamy, Tesla’s Autopilot program director, expects performance to be similar for the most part.

One other thing that Cortex will likely be tackling is not just FSD in cars – but FSD in Optimus. Optimus uses the same principal technology behind FSD for movement, as well as understanding and learning tasks, so we can expect to see plenty of improvements as Tesla is now getting Cortex online.

Video of the inside of Cortex today, the giant new AI training supercluster being built at Tesla HQ in Austin to solve real-world AI pic.twitter.com/DwJVUWUrb5

— Elon Musk (@elonmusk) August 26, 2024

Cortex, Not Dojo

What’s most interesting is that this new supercomputer cluster isn’t Tesla’s Dojo Supercomputers. Instead, this Cortex cluster is instead based on Nvidia’s H100 GPUs. Dojo was supposed to be Tesla’s in-house designed and specialized AI GPUs, meant to focus on optimizing FSD.

Dojo isn’t dead – but delayed from the sounds of it. We’re excited to see where Cortex takes Tesla in the future, and when Dojo shows up to join the party.

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Tesla Drastically Reduces CCS Adapter and Retrofit Pricing

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Tesla has lowered the price for both the CCS adapter, as well as CCS retrofits for its entire lineup throughout North America. This includes a reduction in price for the United States, Canada, and Mexico.

CCS Adapter

Tesla has dropped the price of the CCS (Combo 1 – North America) from $250 USD to $125 USD ($345 CAD to $175 CAD). That’s a straight 50% price reduction, making Tesla’s OEM CCS Adapter one of the cheapest on the market.

CCS1 was the non-Tesla standard for EVs, prior to Tesla opening the NACS standard. Tesla vehicles that have completed the retrofit, or are built after the retrofit date, can use a CCS adapter to charge at any regular CCS station.

CCS Retrofit

The CCS retrofit enables Tesla vehicles before around September 2022 (depending on model and region) to charge at CCS stations using a compatible CCS-to-NACS adapter. Vehicles built before that date won’t be able to charge at CCS stations without this retrofit. The retrofit also comes with a complementary CCS adapter.

You cannot unbundle the CCS adapter from the retrofit purchase to reduce the price.

The retrofit has different pricing for the Model S/X and the Model 3/Y.

How to Check If You Need a Retrofit

If you’re not sure whether your vehicle is CCS capable, you can go to Controls > Software > Additional Vehicle Information. It will show a line near the middle titled “CCS Charging and third-party NACS DC charging.” Next to it it will show whether your vehicle supports third-party CCS charging or whether you'll need a retrofit.

NACS to CCS

And that’s not all – Tesla has drastically increased the production of the NACS to CCS adapter for non-NACS vehicles that are Tesla Supercharger approved, hitting a new record of 8,000 units per week.

Tesla has made massive strides in bringing one standard and improving the efficiency and up-time of EV charging throughout North America, and we’re glad to see them continuing this trend as they move forward.

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