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.
Presented some of the recent work from the Tesla Autopilot team at CVPR this year, especially about "Occupancy Networks" – our approach to solve general obstacle detection and using it to enable sophisticated collision avoidance. Full talk here: https://t.co/wpGXlNHaWl (1/12)
— Ashok Elluswamy (@aelluswamy) August 21, 2022
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.
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.
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.”
These predictions are already used to prevent a lot of collisions. For e.g., Autopilot prevents ~40 crashes / day where human drivers mistakenly press the accelerator at 100% instead of the brakes. In the video Autopilot automatically brakes, saving this person's legs (7/12) pic.twitter.com/XtMssPT9cM
— Ashok Elluswamy (@aelluswamy) August 21, 2022
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.
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
News
Tesla shares epic 2025 recap video, confirms start of Cybercab production
The cinematic montage, posted by the official Tesla account on X, celebrated the company’s progress in EVs, energy, and Robotaxi development.
Tesla has released an epic year-in-review video for 2025, recapping some of its major achievements from refreshed models to autonomy breakthroughs and production ramps.
The cinematic montage, posted by the official Tesla account on X, celebrated the company’s progress in EVs, energy, and Robotaxi development while looking ahead to an even bigger 2026.
Tesla’s 2025 highlights recap
Tesla has had a busy 2025, as highlighted in the recap video. The video opened with Elon Musk explaining the company’s pursuit of sustainable abundance. A number of milestones were then highlighted, such as the rollout of FSD v14, Optimus’ numerous demos, the opening of the Tesla Diner in Hollywood, LA, the completion of the world’s first autonomous car delivery, and the launch of the Robotaxi network in Austin and the San Francisco Bay Area.
Tesla also highlighted several of its accomplishments over the year. As per the company, the Model Y was the year’s best-selling vehicle globally again, and Teslas became more affordable than ever thanks to the Model 3 and Model Y Standard. Other key models were also rolled out, such as the refreshed Model S and X, as well as the new Model Y, the new Model Y Performance, and the six-seat, extended wheelbase Model Y L.
The Megablock was also unveiled during the year, and the Supercharger Network grew by 18%. Over 1 million Powerwalls were also installed during the year, and the Cybertruck became the first EV truck to get both an IIHS Top Safety Pick+ award and an NHTSA 5-Star safety rating.
Cybercab production confirmed
Interestingly enough, Tesla also confirmed in its 2025 recap video that the production of the Cybercab has started. This bodes well for the vehicle, as it could result in the vehicle really being mass-produced in the first half of 2026. Elon Musk confirmed during the 2025 Annual Shareholder Meeting that Cybercab production should earnestly start around April 2026.
Musk has also noted that the Cybercab will be Tesla’s highest-volume vehicle yet, with the company aiming for an annual production rate of about 2 million units. “If you’ve seen the design of the Cybercab line, it doesn’t look like a normal car manufacturing line,” Musk said earlier this year. “It looks like a really high-speed consumer electronics line. In fact, the line will move so fast that actually people can’t even get close to it.”
News
Tesla Cybercab is changing the look of Austin’s roads, and it’s not even in production yet
Videos and photos showed the sleek, two-seat autonomous vehicles navigating traffic.
Even before entering production, Tesla’s Cybercab is already transforming the appearance of Austin’s streets, with multiple prototypes spotted testing in downtown areas recently.
Videos and photos showed the sleek, two-seat autonomous vehicles navigating traffic. Interestingly enough, the vehicles were equipped with temporary steering wheels and human safety drivers.
Recent Cybercab sightings
Over the weekend, enthusiasts captured footage of two Cybercabs driving together in central Austin, their futuristic silhouettes standing out amid regular traffic. While the vehicles featured temporary steering wheels and side mirrors for now, they retained their futuristic, production-intent exterior design.
Industry watcher Sawyer Merritt shared one of the vehicles’ videos, noting the increasing frequency of the autonomous two-seater’s sightings.
Previewing the autonomous future
Sightings of the Cybercab have been ramping in several key areas across the United States in recent weeks. Sightings include units at Apple’s Visitor Center in California, the Fremont factory test track, and in Austin’s streets.
The increased activity suggests that Tesla is in overdrive, validating the autonomous two-seater ahead of its planned volume production. Elon Musk confirmed at the 2025 Shareholder Meeting that manufacturing begins around April 2026 with ambitious targets, and during an All-Hands meeting earlier this year, Musk hinted that ultimately, Tesla’s factories should be able to produce one Cybercab every 10 seconds.
News
Tesla celebrates 9 million vehicles produced globally
The achievement, announced by Tesla Asia on X, celebrated not just the Shanghai team’s output but the company’s cumulative production across all its factories worldwide.
Tesla has achieved a new milestone, rolling out its nine millionth vehicle worldwide from Giga Shanghai.
The achievement, announced by Tesla Asia on X, celebrated not just the Shanghai team’s output but the company’s cumulative production across all its factories worldwide. The milestone came as 2025 drew to a close, and it inspired praise from some of the company’s key executives.
Tesla’s 9 million vehicle milestone
The commemorative photo from Tesla Asia featured the Giga Shanghai team assembled on the factory floor, surrounding the milestone Model Y unit, which looked pristine in white. The image was captioned: “Our 9 millionth vehicle globally has just rolled off the production line at Giga Shanghai. Thanks to our owners and supporters around the world.”
Senior Vice President of Automotive Tom Zhu praised Tesla’s factory teams for the remarkable milestone. He also shared his gratitude to Tesla owners for their support. “Congrats to all Tesla factories for this amazing milestone! Thanks to our owners for your continued support!” Zhu wrote in a post on X.
Giga Shanghai’s legacy
Tesla’s nine million vehicle milestone is especially impressive considering that just 207 days ago, the company announced that it had built its eight millionth car globally. The eight millionth Tesla, a red Model Y, was built in Giga Berlin. The fact that Tesla was able to build a million cars in less than seven months is quite an accomplishment.
Giga Shanghai, Tesla’s largest factory by volume, has been instrumental to the company’s overall operations, having reached four million cumulative vehicles earlier in 2025. The plant produces Model 3 and Model Y for both domestic Chinese and export markets, making it the company’s primary vehicle export hub.
Tesla shares epic 2025 recap video, confirms start of Cybercab production
Tesla Cybercab is changing the look of Austin’s roads, and it’s not even in production yet
