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Tesla Autopilot twists and turns through complex Sin City construction zone on its own
The owner of a Tesla Model S released footage of his electric sedan seamlessly navigating on Autopilot through the sharp and narrow twists and turns of a construction zone.
Model S owner Fred Hassen was traveling on South Las Vegas Boulevard in the “Sin City” while using the vehicle’s Navigate on Autopilot feature as part of the Full-Self Driving suite. The Model S car managed to recognize the confusing lane shifts and road changes and navigate through the cones and safety barrels that were set up by local construction crews. Hassen seemed pleased by his car’s flawless navigation through the make-shift lanes, as can be heard in his video.
The appearance of traffic cones and traffic light indicators on the Model S’ instrument cluster suggests that the vehicle is equipped with Tesla’s latest Hardware 3 and capable of responding to red traffic lights and stop signs, including automatically stopping.
Autopilot progress in clearly marked construction zones is mighty impressive https://t.co/tb1tsuRQaD
— TREV PAGE (@Model3Owners) April 23, 2020
Navigate on Autopilot is one of the most sophisticated driver-assistance features in the automotive industry today. The suite is capable of performing lane changes, navigating through on and off-ramps, and helping drivers make their way through confusing construction zones. The development of Tesla’s software for its self-driving features helps the company work toward a “feature complete” Full Self-Driving suite, which aims to revolutionize the act of driving for every owner in the world.
Tesla’s Artificial Intelligence and Autopilot systems were broken down by Andrej Karpathy, Director of the company’s AI team. Karpathy explained that Tesla’s use of vehicle cameras and artificial intelligence trains its neural network to help cars respond to road conditions safely and accurately. Tesla’s fleet of 1,000,000 vehicles uses “raw images to perform semantic segmentation, object detection, and monocular depth estimation,” according to its website. These images are then used as data to improve the safety of Autopilot.
The data compiled by the fleet of Tesla vehicles is critical to Tesla’s teams who determine improvements that need to be made within the company’s self-driving software. Tesla vehicles likely travel through construction zones every day, but the performance of the cars continues to improve through its continuously-learning Neural Network.
In the past, a Tesla hacker known as “green” has showed Tesla Autopilot’s thought process when navigating through construction zones.
and finally a bit of construction zone (this is the only one of the set where AP is actually on), nothing groundbreaking since it was widely reported already long ago, but still interesting to see it "from the inside": pic.twitter.com/TmGkqhGPQz
— green (@greentheonly) November 7, 2019
The technology seems to recognize cones as the guidance point for the lane, forgetting about painted “on-road” lines when construction zones are concerned. The car understands that the standard path of travel is obsolete because of construction. Autopilot instead uses the cones lined up on both sides of the lane as the new guidance markers for travel. This video is from a previous version of firmware, so the program has improved since then as more data has entered the Neural Network.
Tesla initial plans were to release the “feature complete” FSD suite by the end of 2019, but the program was not ready for a full release. After the company release Stop Sign and Traffic Light recognition in mid-April, all that is left for Tesla to unveil is city driving. As the cars seem to be navigating through tricky construction zones with relative ease, city street driving could roll out soon.
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Elon Musk’s Grok AI to be used in U.S. War Department’s bespoke AI platform
The partnership aims to provide advanced capabilities to 3 million military and civilian personnel.
The U.S. Department of War announced Monday an agreement with Elon Musk’s xAI to embed the company’s frontier artificial intelligence systems, powered by the Grok family of models, into the department’s bespoke AI platform GenAI.mil.
The partnership aims to provide advanced capabilities to 3 million military and civilian personnel, with initial deployment targeted for early 2026 at Impact Level 5 (IL5) for secure handling of Controlled Unclassified Information.
xAI Integration
As noted by the War Department’s press release, GenAI.mil, its bespoke AI platform, will gain xAI for the Government’s suite of tools, which enable real-time global insights from the X platform for “decisive information advantage.” The rollout builds on xAI’s July launch of products for U.S. government customers, including federal, state, local, and national security use cases.
“Targeted for initial deployment in early 2026, this integration will allow all military and civilian personnel to use xAI’s capabilities at Impact Level 5 (IL5), enabling the secure handling of Controlled Unclassified Information (CUI) in daily workflows. Users will also gain access to real‑time global insights from the X platform, providing War Department personnel with a decisive information advantage,” the Department of War wrote in a press release.
Strategic advantages
The deal marks another step in the Department of War’s efforts to use cutting-edge AI in its operations. xAI, for its part, highlighted that its tools can support administrative tasks at the federal, state and local levels, as well as “critical mission use cases” at the front line of military operations.
“The War Department will continue scaling an AI ecosystem built for speed, security, and decision superiority. Newly IL5-certified capabilities will empower every aspect of the Department’s workforce, turning AI into a daily operational asset. This announcement marks another milestone in America’s AI revolution, and the War Department is driving that momentum forward,” the War Department noted.
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Tesla FSD (Supervised) v14.2.2 starts rolling out
The update focuses on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing, among other improvements.
Tesla has started rolling out Full Self-Driving (Supervised) v14.2.2, bringing further refinements to its most advanced driver-assist system. The new FSD update focuses on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing, among other improvements.
Key FSD v14.2.2 improvements
As noted by Not a Tesla App, FSD v14.2.2 upgrades the vision encoder neural network with higher resolution features, enhancing detection of emergency vehicles, road obstacles, and human gestures. New Arrival Options let users select preferred drop-off styles, such as Parking Lot, Street, Driveway, Parking Garage, or Curbside, with the navigation pin automatically adjusting to the user’s ideal spot for precision.
Other additions include pulling over for emergency vehicles, real-time vision-based detours for blocked roads, improved gate and debris handling, and extreme Speed Profiles for customized driving styles. Reliability gains cover fault recovery, residue alerts on the windshield, and automatic narrow-field camera washing for new 2026 Model Y units.
FSD v14.2.2 also boosts unprotected turns, lane changes, cut-ins, and school bus scenarios, among other things. Tesla also noted that users’ FSD statistics will be saved under Controls > Autopilot, which should help drivers easily view how much they are using FSD in their daily drives.
Key FSD v14.2.2 release notes
Full Self-Driving (Supervised) v14.2.2 includes:
- Upgraded the neural network vision encoder, leveraging higher resolution features to further improve scenarios like handling emergency vehicles, obstacles on the road, and human gestures.
- Added Arrival Options for you to select where FSD should park: in a Parking Lot, on the Street, in a Driveway, in a Parking Garage, or at the Curbside.
- Added handling to pull over or yield for emergency vehicles (e.g. police cars, fire trucks, ambulances).
- Added navigation and routing into the vision-based neural network for real-time handling of blocked roads and detours.
- Added additional Speed Profile to further customize driving style preference.
- Improved handling for static and dynamic gates.
- Improved offsetting for road debris (e.g. tires, tree branches, boxes).
- Improve handling of several scenarios, including unprotected turns, lane changes, vehicle cut-ins, and school buses.
- Improved FSD’s ability to manage system faults and recover smoothly from degraded operation for enhanced reliability.
- Added alerting for residue build-up on interior windshield that may impact front camera visibility. If affected, visit Service for cleaning!
- Added automatic narrow field washing to provide rapid and efficient front camera self-cleaning, and optimize aerodynamics wash at higher vehicle speed.
- Camera visibility can lead to increased attention monitoring sensitivity.
Upcoming Improvements:
- Overall smoothness and sentience.
- Parking spot selection and parking quality.
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Tesla is not sparing any expense in ensuring the Cybercab is safe
Images shared by the longtime watcher showed 16 Cybercab prototypes parked near Giga Texas’ dedicated crash test facility.
The Tesla Cybercab could very well be the safest taxi on the road when it is released and deployed for public use. This was, at least, hinted at by the intensive safety tests that Tesla seems to be putting the autonomous two-seater through at its Giga Texas crash test facility.
Intensive crash tests
As per recent images from longtime Giga Texas watcher and drone operator Joe Tegtmeyer, Tesla seems to be very busy crash testing Cybercab units. Images shared by the longtime watcher showed 16 Cybercab prototypes parked near Giga Texas’ dedicated crash test facility just before the holidays.
Tegtmeyer’s aerial photos showed the prototypes clustered outside the factory’s testing building. Some uncovered Cybercabs showed notable damage and one even had its airbags engaged. With Cybercab production expected to start in about 130 days, it appears that Tesla is very busy ensuring that its autonomous two-seater ends up becoming the safest taxi on public roads.
Prioritizing safety
With no human driver controls, the Cybercab demands exceptional active and passive safety systems to protect occupants in any scenario. Considering Tesla’s reputation, it is then understandable that the company seems to be sparing no expense in ensuring that the Cybercab is as safe as possible.
Tesla’s focus on safety was recently highlighted when the Cybertruck achieved a Top Safety Pick+ rating from the Insurance Institute for Highway Safety (IIHS). This was a notable victory for the Cybertruck as critics have long claimed that the vehicle will be one of, if not the, most unsafe truck on the road due to its appearance. The vehicle’s Top Safety Pick+ rating, if any, simply proved that Tesla never neglects to make its cars as safe as possible, and that definitely includes the Cybercab.