Tesla to implement new hazard light system via software update

By Kevin Armstrong
Tesla to implement new hazards light pattern that drastically improves safety
Tesla to implement new hazards light pattern that drastically improves safety
Emergency Safety Solutions/YouTube

A small, four-year-old company in Houston, Texas, has been using a Tesla Model 3 to demonstrate its revolutionary hazard warning system. Now, their system will be in millions of Teslas.

Emergency Safety Solutions, Inc. (ESS), is the creator of HELP, which stands for Hazard Enhanced Location Protocol. The company claims its system significantly improves driver safety. Tesla, which usually develops its systems, and rarely uses external programs, will be the first automaker to implement HELP in its vehicles.

ESS says that every seven minutes, there is a crash involving a disabled vehicle on American roadways. These crashes kill or injure 15,000 people annually. The company also states the main factor in those crashes is an ineffective hazard light system that is not getting the attention of drivers. The hazard light system was created more than 70 years ago and hasn't been improved since.

According to ESS, HELP will: "provide advanced lighting alerts and digital location-based alerts to greatly improve advance warning communications to drivers." Virginia Tech Transportation Institute studied several lighting combinations and found that 4hz to 6Hz flash frequencies greatly improved drivers' attention. The current system is 1.5Hz.

Researchers then took the 5Hz system to the street and found that drivers responded 12 seconds earlier. They also discovered that drivers moved over 360 meters or nearly four football fields away from the disabled car. In addition, drivers moving to the left of a disabled car jumped from 30 percent with the current system to 87 percent with HELP.

The flashing lights will undoubtedly improve safety, but the system also sends a digital signal to alert drivers using in-car or phone navigation that there is a hazard ahead. The early warning will allow drivers to be warned much sooner than just the visual blinking lights system. Additionally, the HELP system can be manually activated or it will automatically turn on if a collision is detected or an airbag is deployed.

Tom Metzger, CEO of ESS, said, "Tesla is a leader in bringing first-time innovation to passenger vehicles and is leading the way by implementing HELP technology on potentially millions of Tesla vehicles worldwide. It's a monumental step in the effort to overcome the troubling safety issue of crashes into disabled and vulnerable vehicles, which tragically injure or kill tens of thousands around the world each year."

New Hazard Light Pattern on a Model 3

Tesla will implement these changes to these existing vehicles through a software update. It's a rare step for Tesla, which usually creates its own systems and improves traditional programs (Tesla recently improved the seatbelt).

This time Tesla found a company that has done everything necessary to improve this aspect of vehicle safety, so why recreate the wheel?

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

By Karan Singh
Optimus Falls - but catches itself!
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.

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.

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

By Karan Singh
Not a Tesla App

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.

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!
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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