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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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Tesla FSD fleet is nearing 7 billion total miles, including 2.5 billion city miles
As can be seen on Tesla’s official FSD webpage, vehicles equipped with the system have now navigated over 6.99 billion miles.
Tesla’s Full Self-Driving (Supervised) fleet is closing in on almost 7 billion total miles driven, as per data posted by the company on its official FSD webpage.
These figures hint at the massive scale of data fueling Tesla’s rapid FSD improvements, which have been quite notable as of late.
FSD mileage milestones
As can be seen on Tesla’s official FSD webpage, vehicles equipped with the system have now navigated over 6.99 billion miles. Tesla owner and avid FSD tester Whole Mars Catalog also shared a screenshot indicating that from the nearly 7 billion miles traveled by the FSD fleet, more than 2.5 billion miles were driven inside cities.
City miles are particularly valuable for complex urban scenarios like unprotected turns, pedestrian interactions, and traffic lights. This is also the difference-maker for FSD, as only complex solutions, such as Waymo’s self-driving taxis, operate similarly on inner-city streets. And even then, incidents such as the San Francisco blackouts have proven challenging for sensor-rich vehicles like Waymos.
Tesla’s data edge
Tesla has a number of advantages in the autonomous vehicle sector, one of which is the size of its fleet and the number of vehicles training FSD on real-world roads. Tesla’s nearly 7 billion FSD miles then allow the company to roll out updates that make its vehicles behave like they are being driven by experienced drivers, even if they are operating on their own.
So notable are Tesla’s improvements to FSD that NVIDIA Director of Robotics Jim Fan, after experiencing FSD v14, noted that the system is the first AI that passes what he described as a “Physical Turing Test.”
“Despite knowing exactly how robot learning works, I still find it magical watching the steering wheel turn by itself. First it feels surreal, next it becomes routine. Then, like the smartphone, taking it away actively hurts. This is how humanity gets rewired and glued to god-like technologies,” Fan wrote in a post on X.
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Tesla starts showing how FSD will change lives in Europe
Local officials tested the system on narrow country roads and were impressed by FSD’s smooth, human-like driving, with some calling the service a game-changer for everyday life in areas that are far from urban centers.
Tesla has launched Europe’s first public shuttle service using Full Self-Driving (Supervised) in the rural Eifelkreis Bitburg-Prüm region of Germany, demonstrating how the technology can restore independence and mobility for people who struggle with limited transport options.
Local officials tested the system on narrow country roads and were impressed by FSD’s smooth, human-like driving, with some calling the service a game-changer for everyday life in areas that are far from urban centers.
Officials see real impact on rural residents
Arzfeld Mayor Johannes Kuhl and District Administrator Andreas Kruppert personally tested the Tesla shuttle service. This allowed them to see just how well FSD navigated winding lanes and rural roads confidently. Kruppert said, “Autonomous driving sounds like science fiction to many, but we simply see here that it works totally well in rural regions too.” Kuhl, for his part, also noted that FSD “feels like a very experienced driver.”
The pilot complements the area’s “Citizen Bus” program, which provides on-demand rides for elderly residents who can no longer drive themselves. Tesla Europe shared a video of a demonstration of the service, highlighting how FSD gives people their freedom back, even in places where public transport is not as prevalent.
What the Ministry for Economic Affairs and Transport says
Rhineland-Palatinate’s Minister Daniela Schmitt supported the project, praising the collaboration that made this “first of its kind in Europe” possible. As per the ministry, the rural rollout for the service shows FSD’s potential beyond major cities, and it delivers tangible benefits like grocery runs, doctor visits, and social connections for isolated residents.
“Reliable and flexible mobility is especially vital in rural areas. With the launch of a shuttle service using self-driving vehicles (FSD supervised) by Tesla in the Eifelkreis Bitburg-Prüm, an innovative pilot project is now getting underway that complements local community bus services. It is the first project of its kind in Europe.
“The result is a real gain for rural mobility: greater accessibility, more flexibility and tangible benefits for everyday life. A strong signal for innovation, cooperation and future-oriented mobility beyond urban centers,” the ministry wrote in a LinkedIn post.
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Tesla China quietly posts Robotaxi-related job listing
Tesla China is currently seeking a Low Voltage Electrical Engineer to work on circuit board design for the company’s autonomous vehicles.
Tesla has posted a new job listing in Shanghai explicitly tied to its Robotaxi program, fueling speculation that the company is preparing to launch its dedicated autonomous ride-hailing service in China.
As noted in the listing, Tesla China is currently seeking a Low Voltage Electrical Engineer to work on circuit board design for the company’s autonomous vehicles.
Robotaxi-specific role
The listing, which was shared on social media platform X by industry watcher @tslaming, suggested that Tesla China is looking to fill the role urgently. The job listing itself specifically mentions that the person hired for the role will be working on the Low Voltage Hardware team, which would design the circuit boards that would serve as the nervous system of the Robotaxi.
Key tasks for the role, as indicated in the job listing, include collaboration with PCB layout, firmware, mechanical, program management, and validation teams, among other responsibilities. The role is based in Shanghai.
China Robotaxi launch
China represents a massive potential market for robotaxis, with its dense urban centers and supportive policies in select cities. Tesla has limited permission to roll out FSD in the country, though despite this, its vehicles have been hailed as among the best in the market when it comes to autonomous features. So far, at least, it appears that China supports Tesla’s FSD and Robotaxi rollout.
This was hinted at in November, when Tesla brought the Cybercab to the 8th China International Import Expo (CIIE) in Shanghai, marking the first time that the autonomous two-seater was brought to the Asia-Pacific region. The vehicle, despite not having a release date in China, received a significant amount of interest among the event’s attendees.