Is Tesla switching to new repeater cameras with wider angles?

Could Tesla be upgrading the repeater camera with a wider angle?

Cyber Owners/YouTube

Tesla continues to roll out Full Self Driving and has also increased the cost of FSD. The system is logging millions of miles and constantly improving as Elon Musk continues his quest to make driving safer, preventing injuries and saving lives. However, there are still many skeptics of the program that has the potential to revolutionize transportation as we know it.

Some of Tesla's most prominent supporters are its harshest critics, but Musk said at the Tesla shareholders meeting in August that he welcomes honest evaluations. The YouTube channel for CyberOwners has a truthful, well-explained assessment. Mike Hoffman of CyberOwners demonstrates and clearly explains one of the most significant issues with Tesla's ability to see its surroundings and navigate safely. The blind corner.

Video Explanation

We've all encountered these situations while driving. Something obstructs our view, and we must lean over the steering wheel while slowly creeping forward to see if it's safe to proceed. As Hoffman shows, the current camera setup has a large area it can not detect. But there are solutions, some that would cost a lot of money and some that could be a simple camera swap.

Hoffman believes Tesla may already be testing a new repeater camera. The repeater camera, more commonly known as the blind spot camera, is on the front fenders. These cameras capture video to the side and back of the vehicle. But Hoffman noticed something different in a video posted by Ashok Elluswamy (below), Tesla's Director of the Autopilot Program.

It appears the program is gathering data from the repeater camera that is further forward than the current camera view. There is also speculation that the video Elluswamy shows is from the b-pillar, the one that is between the front and rear doors. Hoffman says the camera sees much further ahead and is convinced a new repeater camera is being used.

Alternative solutions to this blind corner dilemma include adding cameras to the front bumper and fog lights or moving the b-pillar camera to the side mirror housing. However, this would require new cameras and wiring, which would mean the computer would have to analyze more video streams. This action would be a considerable cost for Tesla, and Hoffman believes a camera swap is much more probable.

Hoffman might be right. It would not be the first time Tesla has changed the repeater camera. When a software update in 2021 included the blind spot feature, some users discovered the repeater camera had glare and was not much help. Tesla changed those cameras out for free.

Most of Tesla's cameras are made to be quickly swappable. Repeater cameras and b-pillar cameras can be swapped out in less than five minutes. That said, this change would require Tesla to swap out potentially millions of cameras. Not a cheap solution, but perhaps the best one to improve another aspect of a system on the cutting edge of technology.

Tesla’s Optimus Robot Learns to Walk Without Vision [VIDEO]

Optimus Falls - but catches itself!

Not a Tesla App

Tesla recently showed off a demo of Optimus, its humanoid robot, walking around in moderately challenging terrain—not on a flat surface but on dirt and slopes. These things can be difficult for a humanoid robot, especially during the training cycle.

Daily walks help clear your mind pic.twitter.com/dUsW58trS6

— Tesla Optimus (@Tesla_Optimus) December 9, 2024

A Look Behind the Curtain

Most interestingly, Milan Kovac, VP of Engineering for Optimus, clarified what it takes to get Optimus to this stage. Let’s break down what he said.

Optimus is Blind

Optimus is getting seriously good at walking now - it can keep its balance over uneven ground - even while walking blind. Tesla is currently using just the sensors, all powered by a neural net running on the embedded computer. 

Essentially, Tesla is building Optimus from the ground up, relying on as much additional data as possible while it trains vision. This is similar to how they train FSD on vehicles, using LiDAR rigs to validate the vision system’s accuracy. While Optimus doesn’t have LiDAR, it relies on all those other sensors on board, many of which will likely become simplified as vision takes over as the primary sensor.

Today, Optimus is walking blind, but it’s able to react almost instantly to changes in the terrain underneath it, even if it falls or slips. 

What’s Next?

Next up, Tesla AI will be adding vision to Optimus - helping complete the neural net. Remember, Optimus runs on the same overall AI stack as FSD - in fact, Optimus uses an FSD computer and an offshoot of the FSD stack for vision-based tasks.

Milan mentions they’re planning on adding vision to help the robot plan ahead and improve its walking gait. While the zombie shuffle is iconic and a little bit amusing, getting humanoid robots to walk like humans is actually difficult.

There’s plenty more, too - including better responsiveness to velocity and direction commands and learning to fall and stand back up. Falling while protecting yourself to minimize damage is something natural to humans - but not exactly natural to something like a robot. Training it to do so is essential in keeping the robot, the environment around it, and the people it is interacting with safe.

We’re excited to see what’s coming with Optimus next because it is already getting started in some fashion in Tesla’s factories.

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Is Tesla Close to Licensing FSD? GM Quits Cruise, BMW Praises Tesla

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In a relatively surprising move, GM announced that it is realigning its autonomy strategy and prioritizing advanced driver assistance systems (ADAS) over fully autonomous vehicles.

GM is effectively closing Cruise (autonomous) and focusing on its Super Cruise (ADAS) feature. The engineering teams at Cruise will join the GM teams working on Super Cruise, effectively shuttering the fully autonomous vehicle business.

End of Cruise

GM cites that “an increasingly competitive robotaxi market” and “considerable time and resources” are required for scaling the business to a profitable level. Essentially - they’re unable to keep up with competitors at current funding and research levels, putting them further and further behind.

Cruise has been offering driverless rides in several cities, using HD mapping of cities alongside vehicles equipped with a dazzling array of over 40 sensors. That means that each cruise vehicle is essentially a massive investment and does not turn a profit while collecting data to work towards Autonomy.

Cruise has definitely been on the back burner for a while, and a quick glance at their website - since it's still up for now - shows the last time they officially released any sort of major news packet was back in 2019. 

Competition is Killer

Their current direct competitor - Waymo, is funded by Google, which maintains a direct interest in ensuring they have a play in the AI and autonomy space.

Interestingly, this news comes just a month after Tesla’s We, Robot event, where they showed off the Cybercab and the Robotaxi network, as well as plans to begin deployment of the network and Unsupervised FSD sometime in 2025. Tesla is already in talks with some cities in California and Texas to launch Robotaxi in 2025.

GM Admits Tesla Has the Right Strategy

As part of the business call following the announcement, GM admitted that Tesla’s end-to-end and Vision-based approach towards autonomy is the right strategy. While they say Cruise started down that path, they’re putting aside their goals towards fully autonomous vehicles for now and focusing on introducing that tech in Super Cruise instead.

NEWS: GM just admitted that @Tesla’s end-to-end approach to autonomy is the right strategy.

“That’s where the industry is pivoting. Cruise had already started making headway down that path. We are moving to a foundation model and end-to-end approach going forward.” pic.twitter.com/ACs5SFKUc3

— Sawyer Merritt (@SawyerMerritt) December 10, 2024

With GM now focusing on Super Cruise, they’ll put aside autonomy and instead focus solely on ADAS features to relieve driver stress and improve safety. While those are positive goals that will benefit all road users, full autonomy is really the key to removing the massive impact that vehicle accidents have on society today.

In addition, Super Cruise is extremely limited, cannot brake for traffic controls, and doesn’t work in adverse conditions - even rain. It can only function when lane markings are clear, there are no construction zones, and there is a functional web connection. 

The final key to the picture is that the vehicle has to be on an HD-mapped and compatible highway - essentially locking Super Cruise to wherever GM has time to spend mapping, rather than being functional anywhere in a general sense, like FSD or Autopilot.

Others Impressed - Licensing FSD

Interestingly, some other manufacturers have also weighed into the demise of Cruise. BMW, in a now-deleted post, said that a demo of Tesla’s FSD is “very impressive.” There’s a distinct chance that BMW and other manufacturers are looking to see what Tesla does next. 

BMW chimes in on a now-deleted post. The Internet is forever, BMW!

Not a Tesla App

It seems that FSD has caught their eyes after We, Robot - and that the demonstrations of FSD V13.2 online seem to be the pivot point. At the 2024 Shareholder Meeting earlier in the year, Elon shared the fact that several manufacturers had reached out, looking to understand what was required to license FSD from Tesla.

There is a good chance 2025 will be the year we’ll see announcements of the adoption of FSD by legacy manufacturers - similar to how we saw the surprise announcements of the adoption of the NACS charging standard.

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