Connect with us
Tesla Autopilot now enables the car to perceive space around it Tesla Autopilot now enables the car to perceive space around it

News

Tesla Autopilot now enables the car to perceive space around it

Credit: Ashok Elluswamy

Published

on

Tesla Autopilot is now enabling the car to perceive the space around it thanks to the development of its Occupancy Networks. Tesla’s Autopilot Software Director, Ashok Elluswamy, shared a detailed thread on Twitter about a recent workshop the Autopilot team held. He also shared the workshop on Twitter.

In the video and Twitter Thread, Ashok explained how Tesla developed Occupancy Networks to literally give the car a sense of its surroundings. Humans have the ability to understand the objects around them at any given time. Is that car down the road moving at a slow speed or a fast speed? Do I, a pedestrian, have enough time to get across the street before being hit? What is that in the middle of the road? What is that falling from the sky? I should move out the way.

Advertisement

These reactions to scenarios and split-second decisions come naturally to humans. Tesla’s Autopilot Team is working to program the vehicles to do the same thing and this will save lives. Imagine the car being able to correctly detect its surroundings while the driver isn’t even paying attention. An example is sudden unintended accelerations (SUA). Ashok pointed out that Autopilot prevents around 40 of these types of accidents daily.

The workshop was held in June at this year’s Conference on Computer Vision and Pattern Recognition (CVPR.) in New Orleans. Ashok explained that the team developed Occupancy Networks which enable the car to predict the volumetric occupancy of everything around it.

Ashok explained that the typical approaches such as image-space segmentation of free space or pixel-wise depth have many issues. The solution to those issues is Occupancy Networks.

In other words, Occupancy Networks enable the car to perceive the space around it and determine whether or not it can drive in that space. For example, if a UFO were to suddenly crash in front of you while you’re driving, you would react quickly in the safest way possible. This is what the Autopilot Team is training the software to do.

Advertisement

Ashok shared details of how Occupancy Networks used Neural Radience Fields (NeRFs). “The occupancy representation of these networks allows for differentiable rendering of images (based on the Neural Radiance Fields work). However, unlike typical NeRFs, which are per scene, these occupancy nets generalize across scenes.”

You can read Ashok’s full Twitter thread here and you can watch his presentation here. We are a little over a month before Tesla’s AI Day and I’m sure Tesla will share more about the life-saving technology it is working on as well as the Optimus Bot.

Advertisement

Dr. Know It All recently published a video about the new 10.69 update and shared his thought about Occupancy Network.

In a message on Twitter, he told me, “The beauty of Occupancy Networks is that the car doesn’t have to know what the objects it sees are, it just has to know that they are there in order to avoid them!”

Note: Johnna is a Tesla shareholder and supports its mission. 

Your feedback is important. If you have any comments, concerns, or see a typo, you can email me at johnna@teslarati.com. You can also reach me on Twitter @JohnnaCrider1

Advertisement

Johnna Crider is a Baton Rouge writer covering Tesla, Elon Musk, EVs, and clean energy & supports Tesla's mission. Johnna also interviewed Elon Musk and you can listen here

Advertisement
Comments

Elon Musk

Tesla expands US LFP battery supply with LG Energy Solution deal: report

The report was initially published by TheElec, citing industry sources.

Published

on

Credit: Tesla

LG Energy Solution (LGES) will manufacture lithium iron phosphate (LFP) energy storage system (ESS) batteries for Tesla at its Lansing, Michigan facility. 

The report was initially published by TheElec, citing industry sources.

LG Energy Solution’s Lansing plant, formerly known as Ultium Cells 3, was previously operated as a joint venture with General Motors. LGES acquired GM’s stake in May 2025 and now fully owns the site. With a production capacity of 50 GWh per year, it is one of the company’s largest facilities in North America.

LG Energy Solution is converting part of the Lansing factory to produce LFP batteries for energy storage systems. Equipment orders for the new lines have already been placed, and mass production is reportedly expected to begin in the second half of next year.

Advertisement

Last July, LG Energy Solution disclosed a 5.94 trillion won battery supply agreement running from August 2027 to July 2030. While the company did not name the customer, industry sources pointed to Tesla as the buyer.

Tesla has primarily used CATL’s prismatic batteries for its Megapack systems. The move to source prismatic LFP cells from LG Energy Solution’s U.S. plant could then be seen as part of Tesla’s efforts to bolster its North American supply base for its energy storage business.

For the Lansing conversion, LG Energy Solution reportedly plans to use electrode equipment originally ordered under its Ultium Cells venture with General Motors. Suppliers reportedly include CIS and Hirano Tecseed for electrode systems, TSI for mixing equipment, CK Solution for heat exhaust systems, A-Pro for formation equipment, and Shinjin Mtech for assembly kits.

Tesla currently manufactures energy storage products at facilities in California and Shanghai, though another Megafactory that produces the Megapack is also expected to be built in Texas. As per recent reports, the Texas Megafactory recently advanced with a major property sale.

Advertisement
Continue Reading

News

Tesla begins Grok AI chatbot rollout to Australia and New Zealand fleet

The update follows earlier deployments in the United States and Europe.

Published

on

Credit: Tesla

Tesla has rolled out its Grok AI assistant to Australia and New Zealand, embedding the conversational chatbot directly into compatible vehicles via an over-the-air update. 

The system, developed by Elon Musk’s xAI, is now live on select models, giving drivers access to a voice-based assistant that goes well beyond traditional command-driven controls.

The update follows earlier deployments in the United States and Europe.

Tesla Australia confirmed Grok is available on Model S, Model 3, Model X and Model Y vehicles equipped with an AMD processor and running software version 2025.26 or later.

Advertisement

“Grok is coming to Teslas in Australia and New Zealand. It can answer almost any question using real-time information & also add/edit navigation destinations to become your personal guide. Phased rollout has now begun to eligible vehicles,” Tesla Australia and New Zealand wrote in a post on its official X account.

Drivers can activate Grok using the steering wheel controls once the update is installed. Access requires either a Premium Connectivity subscription or a stable Wi-Fi connection.

Unlike conventional in-car voice assistants that rely on fixed prompts, Grok is designed to respond conversationally. It can adjust navigation mid-trip, locate nearby points of interest, explain dashboard warnings, provide driving guidance and reference the owner’s manual. 

Tesla noted that interactions with Grok are processed by xAI and remain anonymous to Tesla, adding that conversations are not linked to a specific driver or vehicle.

Advertisement

Grok has attracted attention overseas for offering multiple interaction modes. In the U.S., users can select personalities such as Assistant, Language Tutor, Therapist, Storyteller and Meditation. Additional optional modes for adult users include settings labeled Unhinged, Motivation, Argumentative, Romantic and even Sexy.

Viral clips shared online have shown Grok adopting sarcastic or playful tones that differ from more neutral digital assistants, with the AI assistant typically catching drivers off-guard with its sharp personality and wit. 

Advertisement
Continue Reading

News

Ford is charging for a basic EV feature on the Mustang Mach-E

When ordering a new Ford Mustang Mach-E, you’ll now be hit with an additional fee for one basic EV feature: the frunk.

Published

on

Credit: Ford Motor Company

Ford is charging an additional fee for a basic EV feature on its Mustang Mach-E, its most popular electric vehicle offering.

Ford has shuttered its initial Model e program, but is venturing into a more controlled and refined effort, and it is abandoning the F-150 Lightning in favor of a new pickup that is currently under design, but appears to have some favorable features.

However, ordering a new Mustang Mach-E now comes with an additional fee for one basic EV feature: the frunk.

The frunk is the front trunk, and due to the lack of a large engine in the front of an electric vehicle, OEMs are able to offer additional storage space under the hood. There’s one problem, though, and that is that companies appear to be recognizing that they can remove it for free while offering the function for a fee.

Ford is charging $495 for the frunk.

Interestingly, the frunk size varies by vehicle, but the Mustang Mach-E features a 4.7 to 4.8 cubic-foot-sized frunk, which measures approximately 9 inches deep, 26 inches wide, and 14 inches high.

When the vehicle was first released, Ford marketed the frunk as the ultimate tailgating feature, showing it off as a perfect place to store and serve cold shrimp cocktail.

Ford Mach-E frunk is perfect for chowders and chicken wings, and we’re not even joking

It appears the decision to charge for what is a simple advantage of an EV is not going over well, as even Ford loyal customers say the frunk is a “basic expectation” of an EV. Without it, it seems as if fans feel the company is nickel-and-diming its customers.

It will be pretty interesting to see the Mach-E without a frunk, and while it should not be enough to turn people away from potentially buying the vehicle, it seems the decision to add an additional charge to include one will definitely annoy some customers.

Continue Reading