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Tesla’s new Lane Departure Avoidance feature will steer owners out of harms way even without Autopilot
Tesla has introduced two new active lane monitoring features designed to help prevent drivers from unintentionally leaving their lane of travel as part of its safety-first mission to reduce vehicle accidents. The two features, named ‘Lane Departure Avoidance’ and ‘Emergency Lane Departure Avoidance’, are derived from Autopilot, yet work while it’s not on, and are being rolled out to all Model S, Model 3, and Model X customers worldwide with vehicles built after October 2016.
The Lane Departure Avoidance feature is an extension of Lane Departure Warning and applies corrective steering to keep drivers in their intended travel lane if a departure is sensed without a turn signal. It also monitors whether a driver’s hands are detected on the wheel and sends a series of reminders and alerts if not, similar to the warnings issued to Autopilot users. Additionally, if Traffic Aware Cruise Control is in use and hands are not detected on the wheel, the car will gradually slow down 15 miles below the speed limit or car’s set speed and turn the hazard lights on. The feature is optional and works between 25 and 90 mph.
Emergency Lane Departure Avoidance is automatically enabled and is designed to return a Tesla vehicle back to its original lane if a departure and an imminent collision are detected. The automatic steering will also come into play if the car is nearing the edge of a road. This version of Lane Departure Avoidance is turned on at the beginning of each drive and can only be turned off via the Autopilot Controls menu for single drives.
Tesla’s safety data indicates that these types of features may be effective for preventing accidents when Autopilot is not in use.
A blog post on Tesla’s recent Lane Departure Autopilot security features was published, a copy of which can be found below:
More Advanced Safety for Tesla Owners
The Tesla Team May 2, 2019
While no car can prevent all accidents, we work every day to make them less likely to occur. The massive amount of real-world data gathered from our cars’ eight cameras, 12 ultrasonic sensors, and forward-facing radar, coupled with billions of miles of inputs from real drivers, helps us better understand the patterns to watch out for in the moments before a crash.
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As our quarterly safety reports have shown, drivers using Autopilot register fewer accidents per mile than those driving without it. That’s because Autopilot is designed to reduce fatigue by helping drivers stay in their lane, while also ensuring that they keep their hands on the wheel. While lane-keeping and hands-on monitoring can be extremely effective at helping to reduce the likelihood of an accident when Autopilot is in use, we believe that these precautions can also be extremely effective for preventing accidents when Autopilot is not in use.
Today, we’re introducing two new safety features designed to help prevent drivers from inadvertently departing their lane, which our data shows is a common cause of accidents when Autopilot is not in use. These new features – Lane Departure Avoidance and Emergency Lane Departure Avoidance – help drivers stay engaged and in their lane in order to avoid collisions.
Lane Departure Avoidance
Lane Departure Avoidance lets a driver elect to have corrective steering applied in order to keep them in their intended lane. When the feature is in use and a driver is departing a lane without their turn signal on, the car will also check to see whether a driver’s hands are on the wheel. If a driver’s hands are not detected on the wheel, the driver will receive a series of hands-on reminders and alerts, similar to the ones that our cars provide to customers who use Autopilot. If a drivers’ hands are repeatedly not detected on the wheel when Traffic Aware Cruise Control is in use, their car will gradually slow down to 15 miles below the speed limit or below the car’s set speed, and turn its hazard lights on.
This feature can be turned on or off, and works at speeds between 25 and 90 mph. It is an extension of Lane Departure Warning, which already warns drivers through a steering wheel vibration if they begin to drift out of their lane without their turn signal engaged.
Emergency Lane Departure Avoidance
Emergency Lane Departure Avoidance is designed to steer a Tesla vehicle back into the driving lane if our system detects that it is departing its lane and there could be a collision, or if the car is close to the edge of the road. This feature will automatically be enabled at the beginning of every drive, but can be turned off for a single drive by going to the Autopilot Controls menu.
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At Tesla, improving safety is our primary goal, even after a customer purchases their car. That’s why we’re introducing these features beginning today via a free over-the-air software update, starting with Model 3 owners and gradually expanding to all cars that were built after October 2016. This is just another way that we are helping to protect Tesla drivers and passengers, and others on the road, every day.
Elon Musk
Tesla AI boss reveals how big Optimus is going to get
Tesla’s Optimus chief corrected himself on X, confirming a staggering 10 million robot production target.
![Tesla Optimus Gen 3 [Credit: Tesla]](https://www.teslarati.com/wp-content/uploads/2026/03/tesla-optimus-gen3-diner.jpg)
Tesla’s Optimus program has a new number attached to it, after Ashok Elluswamy, the executive who has run the humanoid robot program since June 2025, posted a three word correction on X Thursday, “Correction, 10 million robots.”
The line clarifies the long term annual capacity Tesla is building toward its planned second Optimus production line at Gigafactory Texas, a figure Musk has cited repeatedly since last year’s shareholder meeting.
The scale is worth noting, because ten million robots a year would mean Tesla building more units annually than most countries sell in new cars. Tesla has framed this as a second line, not the first. The buildout is happening in two phases: a roughly one million unit per year line inside Tesla’s Fremont factory, installed on the floor space vacated when Model S and Model X production ended earlier this year, and a much larger dedicated facility under construction at Giga Texas that broke ground on its first steel structure in May. That Texas facility is the one Elluswamy’s correction refers to, and is expected to reach volume production sometime in 2027.
Correction, 10 million robots https://t.co/0z4nyQNTzp
— Ashok Elluswamy (@aelluswamy) July 30, 2026
Tesla Optimus project fires up as Musk sees production line progress
Elluswamy took over Optimus from Milan Kovac last summer and has spent the months since talking up the program’s trajectory. Elon Musk has also floated the ten million figure at Tesla’s 2025 shareholder meeting.
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Ending Model S and Model X production to make room for the first Optimus line was one of the more consequential manufacturing decisions in the company’s recent history, retiring two flagship vehicles in favor of a robot that has yet to enter mass production. Musk has previously estimated per unit production costs at $20,000 to $25,000 once Tesla reaches a million units a year, though he hasn’t said what that cost looks like at ten times the volume.
The Trump Administration today made several key moves to help with the deployment of autonomous vehicles by cutting overreaching red tape that has stifled growth and innovation for years.
The moves, which were put forth by the National Highway Traffic Safety Administration (NHTSA), aim to grant temporary exemptions to at least one company currently, although that could expand in the coming months. Additionally, it will work with organizations to develop standards and a sound but efficient regulatory landscape.
Zoox is the only company mentioned explicitly by the Trump Administration in its press release announcing the new terms today. They will receive a temporary two-year exemption that will allow the commercial deployment of up to 2,500 vehicles annually for two years.
There is a potential exemption for Robomart, Inc., which “requests a temporary exemption from certain FMVSS No. 500 requirements for a low-speed vehicle operated by an ADS without a human driver onboard. NHTSA will publish a separate notice seeking public comment on its merits once the initial evaluation is complete,” the agency said.
Here are the five new terms that Secretary Sean Duffy has implemented through the NHTSA today:
- Allow Zoox to commercially deploy its robotaxis through a temporary exemption.
This temporary exemption will allow the commercial deployment of up to 2,500 vehicles annually for two years, subject to an enhanced, adaptable oversight structure that can evolve as Zoox’s technology advances. - Accelerate development of first-ever AV performance standards through a partnership with SAE Industry Technologies Consortia (ITC).
This partnership will fund a three-year, $5 million “A2SCEND” consortium, bringing together experts to gather data and accelerate creation of the first-ever AV performance standards. This project will inform a single national standard for AV safety to eliminate the patchwork regulatory landscape that has stifled innovation for years. - Publish an interim final rule that allows vehicles manufactured prior to an exemption to be eligible for a commercial deployment exemption.
This rule will modernize the application process and improve access to exemptions for innovators, including AV developers, by granting the NHTSA Administrator the discretion to apply temporary exemptions to vehicles manufactured prior to the effective date of an exemption grant. - Streamline the application process for Part 555 exemptions by updating guidance and soliciting feedback from the public.
By updating the Part 555 exemption process—which allows automakers to temporarily sell a limited number of non-compliant vehicles, primarily to test new technologies—NHTSA is aiming to create a more flexible oversight structure for exemptions and summarize recent AV framework activities, including expanded exemption pathways, streamlined crash reporting, and ongoing efforts to modernize Federal Motor Vehicle Safety Standards (FMVSS). - Establish a new Federal Docket for public feedback on NHTSA’s updated safe AV development and deployment guidance.
NHTSA is updating its technical guidance for AVs for the first time since 2017—focusing on key safety areas like emergency responder interactions, safety management systems, remote assistance, and post-crash behavior to help the industry scale up driverless deployments safely.
Additionally, the NHTSA said it has modernized some safety standards by proposing updates to:
- FMVSS 102 – Transmission shifting
- FMVSS 103/104 – Windshield defrosting and wiping
- FMVSS 110 – Tire placards
- FMVSS 135 – Braking systems
- FMVSS 101 – Controls and displays
- FMVSS 108 – Vehicle lighting
- FMVSS 111 – Mirrors and rearview display
- FMVSS 126 – Electronic stability control systems
- FMVSS 201/208 – Sun visors and warning labels
These changes aim to make the regulatory process for autonomous vehicles more streamlined and efficient, which could help the U.S. gain dominance over autonomous vehicle systems moving forward.
Elon Musk is, in many respects, one of the biggest and most influential figures in modern-day artificial intelligence.
Given that Tesla, SpaceX, and xAI are all looked at in their respective fields as leaders to an extent, each of them has a heavy influence on the future of AI, even though two of them are not thought of, at face value, as AI companies.
Musk has grand expectations for what is to come with AI, not only as a form of assistance to make human lives easier, but to make humans multiplanetary and solve some of the biggest issues that face us today. But even he is astounded by AI’s pace of progress.
He believes that in two years, AI will be so mind-blowing it might be unrecognizable.
Given that AI from 2 years ago feels so old that it should be in a museum, then obviously AI 2 years from now will be mind-blowing https://t.co/TcsKZ8o8OE
— Elon Musk (@elonmusk) July 30, 2026
This progress can be seen in a variety of ways, but perhaps the most popular way people have shown AI’s progress, especially on social media, is through an incredibly arbitrary way of watching Will Smith eat spaghetti:
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The progression in AI of Will Smith eating spaghetti (2023 – 2026) pic.twitter.com/VDv82mB5gs
— internet hall of fame (@InternetH0F) February 10, 2026
This is a great way to show people how AI is improving, especially from a perspective that examines how it can manufacture images and video from prompts. AI is an incredibly complex concept, however, and it goes much deeper than Will Smith eating Italian food.
Musk’s most widely adopted method of AI is likely Tesla Full Self-Driving, which impacts millions of people as they utilize it to increase safety with their travel. Musk has routinely pushed incredibly aggressive timelines for self-driving, especially unsupervised.
Perhaps this perspective is why he feels that things will be solved in a timeframe that is much more aggressive than most of us would think. Regardless, the progress of AI is moving fast, and it seems that Musk’s expectations for it could be high.
But if it can actually achieve full-length motion pictures and even more realistic production value, it will be hard to distinguish between reality and AI very soon.
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![Tesla Optimus Gen 3 [Credit: Tesla]](https://www.teslarati.com/wp-content/uploads/2026/03/tesla-optimus-gen3-diner-80x80.jpg)
Tesla AI boss reveals how big Optimus is going to get
Autonomous vehicle red tape gets slashed by Trump Administration
