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
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Tesla Model Y L six-seater approved for Australia ahead of launch
The variant was listed as YL5NDB on the Australian government’s ROVER approval website.
Tesla’s six-seat, extended-wheelbase Model Y L has been approved for sale in Australia, as per newly published government documents.
The variant, listed as YL5NDB on the Australian government’s ROVER approval website, has confirmed that Tesla has received regulatory clearance to offer the extended Model Y to domestic customers.
Documents seen by Drive show that the Model Y L has been approved in Australia in a single dual-motor, all-wheel-drive configuration. While Tesla has not formally announced a launch date, vehicles are typically approved for Australian sale several months before arriving in showrooms.
The Model Y L is a longer version of the regular Model Y, designed to accommodate a six-seat layout with two seats in each row. It measures 177mm longer overall than the regular Model Y, at 4969mm, and features a 150mm longer wheelbase at 3040mm.
Australian approval documents list the Model Y L with the same nickel-manganese-cobalt battery pack used in the regular Model Y Long Range, which is expected to have a gross capacity of about 84kWh and a usable capacity of about 82kWh. Output is officially listed at 378kW in government filings, though real-world peak output may differ.
The Model Y L replaces the regular Model Y’s second-row bench with two captain’s chairs featuring heating, ventilation, and power adjustment. Heated third-row seats are also included.
Additional upgrades reported by Drive include an 18-speaker sound system, new front seats with single-piece backrests, and continuously variable shock absorbers. The only wheel option listed for the Australian model is 19-inch wheels.
In Europe, where the Model Y L has also received approval but has not yet launched, the variant is expected to claim up to 681km of WLTP range.
Elon Musk
Elon Musk highlights one of Tesla FSD Supervised’s most underrated features
In his post on X, Musk wrote, “Tesla self-driving now recognizes hand signals.”
Tesla’s Full Self-Driving (Supervised) is able to recognize and respond to hand signals, as highlighted recently by CEO Elon Musk.
In his post on X, Musk wrote, “Tesla self-driving now recognizes hand signals.”
Musk shared the update in a quote reply to a video posted by Tesla Europe, which showed a vehicle operating with Full Self-Driving (Supervised) navigating a tight lane in the Netherlands while responding to hand gestures from a person directing traffic.
Hand signal recognition is an important capability for advanced driver-assistance and autonomous systems. In real-world driving, pedestrians, construction workers, parking attendants, and other drivers frequently use hand gestures to direct traffic, yield right of way, or indicate when it is safe to proceed. For a self-driving system operating in mixed environments, interpreting these non-verbal cues is critical.
Musk’s post comes as Tesla owners have surpassed 8 billion cumulative miles driven with FSD (Supervised) engaged. “Tesla owners have now driven >8 billion miles on FSD Supervised,” the company wrote in a post on X.
Annual FSD (Supervised) miles have increased sharply over the past five years. Roughly 6 million miles were logged in 2021, followed by 80 million in 2022, 670 million in 2023, 2.25 billion in 2024, and 4.25 billion in 2025.
In the first 50 days of 2026 alone, Tesla owners logged another 1 billion miles. At the current pace, the fleet is trending toward approximately 10 billion FSD (Supervised) miles this year.
Tesla’s latest North America safety data, covering all road types over a 12-month period, also indicates that vehicles operating with FSD (Supervised) were recorded one major collision every 5,300,676 miles. By comparison, the U.S. average during the same period was one major collision every 660,164 miles.
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Tesla hiring for Commercial Charging role hints at Semi push in Europe
The job opening was highlighted by David Forer, Senior Project Developer for Charging at Tesla, on LinkedIn.
Tesla appears to be expanding its Commercial Charging efforts in Central Europe. The job opening was highlighted by David Forer, Senior Project Developer for Charging at Tesla, on LinkedIn.
In a post on LinkedIn, Forer stated that Tesla is looking for a “high-energy executer to own Commercial Charging Sales in Central Europe.” He added that the role will involve closing commercial deals across Tesla’s “entire product range (Supercharging & Megacharging).”
The job listing specifies that the hire will lead the sale of Tesla’s high-power charging products, including Supercharger and Heavy Duty Charging, to major partners such as charge point operators, real estate owners, and retail companies. The role requires fluency in German and English and is based onsite in Munich.
Tesla already operates more than 75,000 Superchargers globally, though the Semi’s Megacharger network is still in its early stages. The inclusion of Heavy Duty Charging in the job description is notable, then, as it aligns with Tesla’s Megacharger infrastructure, which is designed to support the Tesla Semi.
Tesla CEO Elon Musk recently confirmed that the Tesla Semi is moving into high-volume production this 2026. In a post on X, Musk noted that “Tesla Semi starts high volume production this year.”
Aerial footage of the Tesla Semi Factory near Giga Nevada also shows that the facility looks nearly complete, with work now underway inside the facility.
Tesla has also refreshed the Semi lineup on its official website, listing two variants: Standard and Long Range. The Standard trim offers up to 325 miles of range with an energy consumption rating of 1.7 kWh per mile, while the Long Range version provides up to 500 miles.
Both variants support fast charging and can recover up to 60% of range in 30 minutes using compatible infrastructure such as the Megacharger Network.
The presence of Heavy Duty Charging in a Central Europe-focused sales role could indicate that Tesla is preparing charging infrastructure ahead of wider Semi deployment in the region. While Tesla has not formally announced a European launch timeline for the Semi, the vehicle, particularly its range, makes it an ideal fit for the area.
Tesla Model Y L six-seater approved for Australia ahead of launch
Elon Musk highlights one of Tesla FSD Supervised’s most underrated features
