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Tesla Model S owner reminds us of ‘Active Hood’ pedestrian safety feature
A relatively unknown Tesla safety feature called ‘Active Hood’, designed to reduce head injuries to pedestrians in the event of a frontal collision, was brought to light in a recent Model S owner’s video that attempts to capture Tesla’s Automatic Emergency Braking (AEB) in action. Active Hood which exists on European and Australian Model S vehicles uses pyrotechnics to raise the rear of the hood by several inches in order to soften the impact of a pedestrian and cyclist against a windshield during frontal impact.
Model S owner and Tesla Motors Club forum member Carspotter Daily posted a video that attempts to simulate a vehicle-pedestrian interaction. The vehicle was a first generation Autopilot vehicle under Firmware 8.0. It’s unclear whether CarSpotter was intentionally trying to trigger Tesla’s Active Hood feature or whether they were looking to test the AEB system, but despite not being able to trigger either feature the end result revealed, once again, Autopilot’s ability to detect humans. Another Tesla owner YouTuber KmanAuto first detected the pedestrian alert last November when he put a friend in front of of his moving Model S.
This type of granular detection of objects allows the vehicle to respond to potential collisions in the most appropriate way, with the objective to reduce collisions entirely. Though Active Hood was mentioned in the trailing notes at the end of the recent video, it’s not clear if the vehicle used in the video is a U.S. spec Model S or a European/Australian version that was included with that safety feature.
ALSO SEE: DIY Tesla Model S Pedestrian Alert: ‘Horn’ for the Oblivious
Active Hood is not a new feature but the fact that it has only been implemented on Tesla vehicles in select markets that mandate the technology has kept it largely under the radar. The technology was built into Tesla vehicles to comply with Euro NCAP Pedestrian Safety requirements that mandate vehicle manufacturers to maintain clearances between the hood and structural components underneath, to protect pedestrians in the event of a low to medium speed collision. These accidents often prove fatal to the pedestrian, as collisions at low to medium speeds typically cause the pedestrian’s body to fold over the hood with the head hitting the windshield.
The system was put to use in real world conditions in Australia in 2015 when someone driving a Tesla Model S collided with a kangaroo which caused the system to deploy. From what they saw after the accident, it looked like the adolescent ‘roo had a broken leg but was conscious enough after the accident to limp away which seems to indicate that it was successful in preventing immediate head trauma.
Tesla had a special challenge when designing Active Hood since the front trunk of a Model S is sealed to keep water out whereas hoods to internal combustion engine vehicles are generally vented. US Patent Application US20130076076 A1 details the specific challenges and solutions developed to allow the hood to pop up in response to an imminent collision with a pedestrian.
The English European version of the Tesla Model S manual lays out the technology in a much more user friendly format:
Active Hood
With Active Hood technology only existing on vehicles destined for the European and Australian markets, and Tesla being so aggressive about implementing safety features, the natural question is “why hasn’t Tesla made this a standard global safety feature?” An early Euro NCAP crash test video showed that Tesla began working hard at doing everything it can to avoid the accident in the first place. After all, avoiding a collision in the first place is far better for all parties involved than just mitigating what happens afterwards.
Elon Musk
Tesla confirmed HW3 can’t do Unsupervised FSD but there’s more to the story
Tesla confirmed HW3 vehicles cannot run unsupervised FSD, replacing its free upgrade promise with a discounted trade-in.
Tesla has officially confirmed that early vehicles with its Autopilot Hardware 3 (HW3) will not be capable of unsupervised Full Self-Driving, while extending a path forward for legacy owners through a discounted trade-in program. The announcement came by way of Elon Musk in today’s Tesla Q1 2026 earnings call.
🚨 Our LIVE updates on the Tesla Earnings Call will take place here in a thread 🧵
Follow along below: pic.twitter.com/hzJeBitzJU
— TESLARATI (@Teslarati) April 22, 2026
The history here matters. HW3 launched in April 2019, and Tesla sold Full Self-Driving packages to owners on the understanding that the hardware was sufficient for full autonomy. Some owners paid between $8,000 and $15,000 for FSD during that period. For years, as FSD’s AI models grew more demanding, HW3 vehicles fell progressively further behind, eventually landing on FSD v12.6 in January 2025 while AI4 vehicles moved to v13 and then v14. When Musk acknowledged in January 2025 that HW3 simply could not reach unsupervised operation, and alluded to a difficult hardware retrofit.
The near-term offering is more concrete. Tesla’s head of Autopilot Ashok Elluswamy confirmed on today’s call that a V14-lite will be coming to HW3 vehicles in late June, bringing all the V14 features currently running on AI4 hardware. That is a meaningful software update for owners who have been frozen at v12.6 for over a year, and it represents genuine effort to keep older hardware relevant. Unsupervised FSD for vehicles is now targeted for Q4 2026 at the earliest, with Musk describing it as a gradual, geography-limited rollout.
For HW3 owners, the over-the-air V14-lite update is welcomed, and the discounted trade-in path at least acknowledges an old obligation. What happens next with the trade-in pricing will define how this chapter ultimately gets written. If Tesla prices the hardware path fairly, acknowledges what early adopters are owed, and delivers V14-lite on the June timeline it committed to today, it has a real opportunity to convert one of the longest-running sore subjects among early adopters into a loyalty story.
Elon Musk
Tesla isn’t joking about building Optimus at an industrial scale: Here we go
Tesla’s Optimus factory in Texas targets 10 million robots yearly, with 5.2 million square feet under construction.
Tesla’s Q1 2026 Update Letter, released today, confirms that first generation Optimus production lines are now well underway at its Fremont, California factory, with a pilot line targeting one million robots per year to start. Of bigger note is a shared aerial image of a large piece of land adjacent to Gigafactory Texas, that Tesla has prominently labeled “Optimus factory site preparation.”
Permit documents show Tesla is seeking to add over 5.2 million square feet of new building space to the Giga Texas North Campus by the end of 2026, at an estimated construction investment of $5 billion to $10 billion. The longer term production target for that facility is 10 million Optimus units per year. Giga Texas already sits on 2,500 acres with over 10 million square feet of existing factory floor, and the North Campus expansion is being built to support multiple projects, including the dedicated Optimus factory, the Terafab chip fabrication facility (a joint Tesla/SpaceX/xAI venture), a Cybercab test track, road infrastructure, and supporting facilities.
Credit: TESLA
Texas makes strategic sense beyond the existing infrastructure. The state’s tax structure, lower labor costs relative to California, and the proximity to Tesla’s AI training cluster Cortex 1 and 2, both located at Giga Texas and now totaling over 230,000 H100 equivalent GPUs, means the Optimus software stack and the factory producing the hardware will share the same campus. Tesla’s Q1 report also confirmed completion of the AI5 chip tape out in April, the inference processor designed specifically to power Optimus units in the field.
As Teslarati reported, the Texas facility is intended to house Optimus V4 production at full scale. Musk told the World Economic Forum in January that Tesla plans to sell Optimus to the public by end of 2027 at a price between $20,000 and $30,000, stating, “I think everyone on earth is going to have one and want one.” He has previously pegged long term demand for general purpose humanoid robots at over 20 billion units globally, citing both consumer and industrial use cases.
Tesla (NASDAQ: TSLA) reported its earnings for the first quarter of 2026 on Wednesday afternoon. Here’s what the company reported compared to what Wall Street analysts expected.
The earnings results come after Tesla reported a miss on vehicle deliveries for the first quarter, delivering 358,023 vehicles and building 408,386 cars during the three-month span.
As Tesla transitions more toward AI and sees itself as less of a car company, expectations for deliveries will begin to become less of a central point in the consensus of how the quarter is perceived.
Nevertheless, Tesla is leaning on its strong foundation as a car company to carry forward its AI ambitions. The first quarter is a good ground layer for the rest of the year.
Tesla Q1 2026 Earnings Results
Tesla’s Earnings Results are as follows:
- Non-GAAP EPS – $0.41 Reported vs. $0.36 Expected
- Revenues – $22.387 billion vs. $22.35 billion Expected
- Free Cash Flow – $1.444 billion
- Profit – $4.72 billion
Tesla beat analyst expectations, so it will be interesting to see how the stock responds. IN the past, we’ve seen Tesla beat analyst expectations considerably, followed by a sharp drop in stock price.
On the same token, we’ve seen Tesla miss and the stock price go up the following trading session.
Tesla will hold its Q1 2026 Earnings Call in about 90 minutes at 5:30 p.m. on the East Coast. Remarks will be made by CEO Elon Musk and other executives, who will shed some light on the investor questions that we covered earlier this week.
You can stream it below. Additionally, we will be doing our Live Blog on X and Facebook.
Q1 2026 Earnings Call at 4:30pm CT https://t.co/pkYIaGJ32y
— Tesla (@Tesla) April 22, 2026
Tesla confirmed HW3 can’t do Unsupervised FSD but there’s more to the story
Tesla isn’t joking about building Optimus at an industrial scale: Here we go
