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Tesla Semi’s vast array of Autopilot cameras and sensors for convoy mode spotted
When CEO Elon Musk unveiled the Tesla Semi to the world, one of the main messages in his presentation was that the all-electric semi-truck is significantly cheaper to own than a traditional diesel truck. With a starting price of $150,000 for the base truck, and $180,000 for the long range 500-mile variant, the Tesla Semi is priced considerably lower than what many industry experts expected.
“We really thought about this a lot. If you take everything into account: take the lease cost, take the insurance cost, maintenance, all of the factors – the fully accounted for true cost of trucking – a diesel truck will be 20% more expensive than a Tesla Semi per mile.” said Musk.
The Tesla Semi is able to achieve high efficiency through the use of four electric motors – the same volume production motors used in the company’s consumer mass market Model 3 sedan – that operate independently to control torque at each wheel. The drivetrain’s design not only allows for blistering acceleration, by truck standards, but also adds an element of safety. “The truck will automatically stop jackknifing because it has independent motors on each wheel and it will dynamically adjust the torque on each wheel so that jackknifing is impossible. Your worse nightmare is gone with this truck.”
However, combined with the truck’s ability to leverage convoy technology wherein a fleet of Tesla semi-trucks semi-autonomously draft in close proximity to one another thereby reducing energy usage from wind resistance, Tesla Semi’s true cost of ownership becomes even more favorable than a diesel truck.
“The convoy technology, the tracking technology, this is something that we are confident we can today do ten times safer than a human driver.” said Musk at the Tesla Semi unveiling event. “I want to be clear, this is something we can do now.”
According to Musk, a diesel truck becomes twice as expensive as a Tesla all-electric truck that’s operating in convoy mode.
Similar to Tesla’s Autopilot-enabled Model S and Model X consumer vehicles, the Tesla Semi is able to use a suite of cameras and sensors to paint a digital picture of its surroundings. Every truck is equipped with Enhanced Autopilot that will allow the vehicle to semi-autonomously stay in lane, automatically brake in emergency situations and warn of forward collisions.
DON’T MISS: Close-up look at Tesla Semi’s “Megacharger” charging port
“Even if you’re in an emergency, the truck will stay in lane, and gradually come to a halt, and put on the emergencies. If it doesn’t hear a response from you, it will actually call emergency services and get an ambulance. It’s going to take care of you; it’s going to take care of other cars; it’s going to take care of other pedestrians. This is a massive increase in safety.” said Musk.
On the outside, the sleek Tesla Semi doesn’t appear to have any protruding hardware beyond a “wing” that’s present on either side of the truck. Upon closer investigation by KmanAuto who attended the event and gave us a first look at the Tesla Semi’s gearbox, there’s a vast array of cameras and possibly a LiDAR mounted within the truck’s wings.
- (Credit: Tesla)
Because the Tesla Semi doesn’t have any side mirrors, video from these cameras likely provide the driver with a birds eye view of both sides of the truck as seen from the interior touchscreen displays. Kman also discovered a row of cameras mounted below and above the massive windshield, and even more cameras discreetly mounted within Tesla Semi’s headlight assembly.
Though Musk did not talk about the integration of Full Self-Driving capabilities in the Tesla Semi, Kman notes that it could be possible if Tesla one day offers its own tractor trailers with sensors. “I think Tesla will offer its own tractor trailers. These trailers will be outfitted with their own suite of sensors to enhance the vehicle’s abilities further.” Kman tells Teslarati.
We’ve embedded Kman’s video that captures the various locations of Tesla Semi’s sensor suite. We count at least 12 cameras. How many can you spot?
Elon Musk
Elon Musk reveals date of Tesla Full Self-Driving’s next massive release
Initially planned for a January or February release, v14.3 aims to add some reasoning and logic to the decisions that Full Self-Driving makes, which could improve a lot of things, including Navigation, which is a major complaint of many owners currently.
Tesla CEO Elon Musk revealed the date of Full Self-Driving’s next massive release: v14.3.
For months, Tesla owners with Hardware 4 have been utilizing Full Self-Driving v14.2 and subsequent releases. Currently, the most up-to-date FSD version is v14.2.2.5, which has definitely brought out mixed reviews. With releases, some things get better, and other things might regress slightly.
For the most part, things are better in terms of overall behavior.
However, many owners have been looking forward to the next release, which is v14.3, about which Musk has said many great things. Back in November, Musk said that v14.3 “is where the last big piece of the puzzle lands.”
He added:
“We’re gonna add a lot of reasoning and RL (reinforcement learning). To get to serious scale, Tesla will probably need to build a giant chip fab. To have a few hundred gigawatts of AI chips per year, I don’t see that capability coming online fast enough, so we will probably have to build a fab.”
Initially planned for a January or February release, v14.3 aims to add some reasoning and logic to the decisions that Full Self-Driving makes, which could improve a lot of things, including Navigation, which is a major complaint of many owners currently.
Tesla Full Self-Driving v14.2 is a considerable improvement from early versions of the suite, but we have written about the somewhat confusing updates that have come with recent versions.
Tesla Full Self-Driving v14.2.2.5 might be the most confusing release ever
They’ve been incredibly difficult to gauge in terms of progress because some things have gotten better, but there seems to be some real regression on a handful of things, especially with confidence and assertiveness.
Musk confirmed today on X that Tesla is already testing v14.3 internally right now. It will hit a wide release “in a few weeks,” so we should probably expect it by late April.
It’s in testing right now. Wide release in a few weeks.
— Elon Musk (@elonmusk) March 19, 2026
Overall, there are high hopes that v14.3 could be a true game changer for Tesla Full Self-Driving, as many believe it could be the version that Robotaxis in Austin, Texas, some of which are driverless and unsupervised, are running.
It could also include some major additions, including “Banish,” also referred to as “Reverse Summon,” which would go find a parking spot after dropping occupants off at their destination.
What Tesla will roll out, and when exactly it arrives, all remain to be seen, but fans have been ready for a new version as v14.2.2.5 has definitely run its course. We have had a lot of readers tell us their biggest request is to fix Navigation errors, which seem to be one of the most universal complaints among daily FSD users.
Cybertruck
Chattanooga Charge: Tesla and EV fans ready for the Southeast’s wildest Tesla party
From Cybertruck Convoys to Kid-Friendly Fun Zones: The Chattanooga Charge Has Something for Everyone
Hundreds of like-minded Tesla and EV enthusiasts are descending on Chattanooga Charge this weekend for the largest Tesla meet in the Southeast. Taking place on March 20–22, 2026 at the stunning Tennessee Riverpark.
If you were there last year, you’ll know that it’s the ultimate experience to see the wildest Teslas in action, see the best in EV tech, and arguably the most fun – finally put a name to the face and connect with those social media buddies IRL! Oh, and that epic night time Tesla light show is a once-in-a-lifetime experience that will transform the Riverpark into something out of a sci-fi film that’s remarkably unforgettable and must be seen in person.
This year’s event takes everything up a notch, with over 100 Cybertrucks expected to be on display, many sporting jaw-dropping modifications and custom wraps that push the boundaries of what these stainless steel beasts can look like.
Whether you’re a diehard Tesla fan, EV supporter, or just EV-mod-curious, the sheer spectacle is worth the drive.
The Chattanooga Charge doesn’t wait until Saturday morning to get started. The weekend technically kicks off Friday, March 20th, and the venue sets the tone immediately. Come share roadtrip stories over drinks at the W-XYZ Rooftop Bar on the top floor of the Aloft Chattanooga Hamilton Place Hotel, with sunset views over the city.
Come morning, nurse your hangover with a some good coffee, and convoy with hundreds of other Tesla and EV drivers through Chattanooga to the event for some morning meet and greets before the speaker panel starts and the food trucks fire up.
Tesla owner clubs travel from across the country to be here, not just to show off their vehicles,, but to connect, share, and celebrate a shared passion for the future of driving.
Sounds like a plan to me. See you there, guys. Don’t miss it. Get your tickets at ChattanoogaCharge.com and join the charge. 🔋⚡
Chattanooga Charge is a premier Tesla and EV gathering inspired by the X Takeover, known as one of the largest Tesla event gatherings. What began as a bold idea from the team at DIY Wraps/TESBROS, hosted in their hometown of Chattanooga, Tennessee, the event quickly became a movement across social media. The first annual Chattanooga Charge united over 16 Tesla clubs from 16 states, proof that the EV community was hungry for something big in the South. Year after year, the event has grown in scale, ambition, and heart.
News
Tesla Full Self-Driving gets latest bit of scrutiny from NHTSA
The analysis impacts roughly 3.2 million vehicles across the company’s entire lineup, and aims to identify how the suite’s degradation detection systems work and how effective they are when the cars encounter difficult visibility conditions.
The National Highway Traffic Safety Administration (NHTSA) has elevated its probe into Tesla’s Full Self-Driving (Supervised) suite to an Engineering Analysis.
The analysis impacts roughly 3.2 million vehicles across the company’s entire lineup, and aims to identify how the suite’s degradation detection systems work and how effective they are when the cars encounter difficult visibility conditions.
The step up into an Engineering Analysis is often required before the NHTSA will tell an automaker to issue a recall. However, this is not a guarantee that a recall will be issued.
🚨 The NHTSA said it was upgrading a probe into Tesla’s Full Self-Driving (Supervised) platform to an “engineering analysis”
It will examine 3.2 million vehicles and aims to determine its effectiveness in evaluating degraded road conditions pic.twitter.com/2dkrv1mR8o
— TESLARATI (@Teslarati) March 19, 2026
The NTHSA wants to examine Tesla FSD’s ability to assess road conditions that have reduced visibility, as well as detect degradation to alert the driver with sufficient time to respond.
The Office of Defects Investigation (ODI) will evaluate the performance of FSD in degraded roadway conditions and the updates or modifications Tesla makes to the degradation detection system, including the timing, purpose, and capabilities of the updates.
Tesla routinely ships software updates to improve the capabilities of the FSD suite, so it will be interesting to see if various versions of FSD are tested. Interestingly, you can find many examples from real-world users of FSD handling snow-covered roads, heavy rain, and single-lane backroads.
However, there are incidents that the NHTSA has used to determine the need for this probe, at least for now. The agency said:
“Available incident data raise concerns that Tesla’s degradation detection system, both as originally deployed and later updated, fails to detect and/or warn the driver appropriately under degraded visibility conditions such as glare and airborne obscurants. In the crashes that ODI has reviewed, the system did not detect common roadway conditions that impaired camera visibility and/or provide alerts when camera performance had deteriorated until immediately before the crash occurred.”
It continues to say in its report that a review of Tesla’s responses revealed additional crashes that occurred in similar environments showed FSD “did not detect a degraded state, and/or it did not present the driver with an alert with adequate time for the driver to react. In each of these crashes, FSD also lost track of or never detected a lead vehicle in its path.”
The next steps of the NHTSA Engineering Analysis require the agency to gather further information on Tesla’s attempts to upgrade the degradation detection system. It will also analyze six recent potentially related incidents.
The investigation is listed as EA26002.




