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Tesla Autopilot alerts driver of upcoming cyclist even before they see them

Credit: YouTube | Dirty Tesla

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Tesla’s Autopilot recently helped a driver to recognize and avoid a bicyclist who was traveling on the shoulder of a road. 

YouTuber and Model 3 Long Range All Wheel-Drive owner Dirty Tesla displayed his vehicle’s impressive ability to identify and warn him of the bicyclist before he had the opportunity to begin navigating away. 

Dirty Tesla’s Model 3 was utilizing software version 2020.12.6, which was released on April 24 in a broad rollout of the company’s new Traffic Light and Stop Sign recognition feature.

While impressive that the vehicle was able to detect the bicyclist before the driver, what is perhaps even more striking was the car’s ability to visualize the man on the bike on the vehicle’s dash screen before the driver saw him.

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Tesla Driving Visualization feature showed the bicyclist before the driver saw him. (Credit: YouTube | Dirty Tesla)

Dirty Tesla was filming his use of Autopilot’s newest features in a controlled environment. But before he could see with his eyes what was coming, his vehicle was able to alert the driver of a cyclist on the road ahead.

Tesla’s Full Self-Driving suite has come a long way in the past year. With the additions of Smart Summon and Traffic Light and Stop Sign recognition, the only thing left for Tesla to implement is inner-city driving. While half of the battle is recognizing stop signs, traffic lights, and safe intersection maneuvering, the other half is maintaining the safety of pedestrians who will be present on sidewalks, crosswalks, and bikes within a city’s limits.

Tesla’s vehicles must master the art of identifying pedestrians on the street and sidewalks to ensure the safety of everyone in tight city environments. This step is not only convenient for drivers, but it is crucial when talking about the safety of pedestrians in general. While there are many distractions while driving, pedestrians put themselves into danger nearly anytime they are traveling or walking on or near a public road.

Elon Musk recently mentioned that the release of Tesla’s Full Self-Driving functionalities is set to be released later in 2020. The rollout of these features will solidify Tesla as a major player in the push toward semi-autonomous technology, which has become a trademark of Tesla’s cars, along with impressive performance and sustainability.

The safety of Tesla’s vehicles extends past the driver and passengers who sit within the electric vehicle. The company continues to push toward more protection even though its cars already hold five-star crash ratings and improving safety statistics. However, cars, people, animals, and unexpected obstacles fill the road. All of these can, unfortunately, be subjected to danger if a driver is not paying attention. However, Tesla’s Autopilot and FSD suites are continuously improving and keeping everything on the road safe and out of harm’s way.

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Watch Dirty Tesla’s video of his Model 3 recognizing a bicyclist below.

Joey has been a journalist covering electric mobility at TESLARATI since August 2019. In his spare time, Joey is playing golf, watching MMA, or cheering on any of his favorite sports teams, including the Baltimore Ravens and Orioles, Miami Heat, Washington Capitals, and Penn State Nittany Lions. You can get in touch with joey at joey@teslarati.com. He is also on X @KlenderJoey. If you're looking for great Tesla accessories, check out shop.teslarati.com

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Tesla Full Self-Driving’s newest behavior is the perfect answer to aggressive cars

According to a recent video, it now appears the suite will automatically pull over if there is a tailgater on your bumper, the most ideal solution for when a driver is riding your bumper.

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Credit: Tesla

Tesla Full Self-Driving appears to have a new behavior that is the perfect answer to aggressive drivers.

According to a recent video, it now appears the suite will automatically pull over if there is a tailgater on your bumper, the most ideal solution for when a driver is riding your bumper.

With FSD’s constantly-changing Speed Profiles, it seems as if this solution could help eliminate the need to tinker with driving modes from the person in the driver’s seat. This tends to be one of my biggest complaints from FSD at times.

A video posted on X shows a Tesla on Full Self-Driving pulling over to the shoulder on windy, wet roads after another car seemed to be following it quite aggressively. The car looks to have automatically sensed that the vehicle behind it was in a bit of a hurry, so FSD determined that pulling over and letting it by was the best idea:

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We can see from the clip that there was no human intervention to pull over to the side, as the driver’s hands are stationary and never interfere with the turn signal stalk.

This can be used to override some of the decisions FSD makes, and is a great way to get things back on track if the semi-autonomous functionality tries to do something that is either unneeded or not included in the routing on the in-car Nav.

FSD tends to move over for faster traffic on the interstate when there are multiple lanes. On two-lane highways, it will pass slower cars using the left lane. When faster traffic is behind a Tesla on FSD, the vehicle will move back over to the right lane, the correct behavior in a scenario like this.

Perhaps one of my biggest complaints at times with Full Self-Driving, especially from version to version, is how much tinkering Tesla does with Speed Profiles. One minute, they’re suitable for driving on local roads, the next, they’re either too fast or too slow.

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When they are too slow, most of us just shift up into a faster setting, but at times, even that’s not enough, see below:

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There are times when it feels like it would be suitable for the car to just pull over and let the vehicle that is traveling behind pass. This, at least up until this point, it appears, was something that required human intervention.

Now, it looks like Tesla is trying to get FSD to a point where it just knows that it should probably get out of the way.

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Tesla Megapack powers $1.1B AI data center project in Brazil

By integrating Tesla’s Megapack systems, the facility will function not only as a major power consumer but also as a grid-supporting asset.

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Credit: Tesla

Tesla’s Megapack battery systems will be deployed as part of a 400MW AI data center campus in Uberlândia, Brazil. The initiative is described as one of Latin America’s largest AI infrastructure projects.

The project is being led by RT-One, which confirmed that the facility will integrate Tesla Megapack battery energy storage systems (BESS) as part of a broader industrial alliance that includes Hitachi Energy, Siemens, ABB, HIMOINSA, and Schneider Electric. The project is backed by more than R$6 billion (approximately $1.1 billion) in private capital.

According to RT-One, the data center is designed to operate on 100% renewable energy while also reinforcing regional grid stability.

“Brazil generates abundant energy, particularly from renewable sources such as solar and wind. However, high renewable penetration can create grid stability challenges,” RT-One President Fernando Palamone noted in a post on LinkedIn. “Managing this imbalance is one of the country’s growing infrastructure priorities.”

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By integrating Tesla’s Megapack systems, the facility will function not only as a major power consumer but also as a grid-supporting asset.

“The facility will be capable of absorbing excess electricity when supply is high and providing stabilization services when the grid requires additional support. This approach enhances resilience, improves reliability, and contributes to a more efficient use of renewable generation,” Palamone added.

The model mirrors approaches used in energy-intensive regions such as California and Texas, where large battery systems help manage fluctuations tied to renewable energy generation.

The RT-One President recently visited Tesla’s Megafactory in Lathrop, California, where Megapacks are produced, as part of establishing the partnership. He thanked the Tesla team, including Marcel Dall Pai, Nicholas Reale, and Sean Jones, for supporting the collaboration in his LinkedIn post.

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Starlink powers Europe’s first satellite-to-phone service with O2 partnership

The service initially supports text messaging along with apps such as WhatsApp, Facebook Messenger, Google Maps and weather tools.

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Credit: SpaceX

Starlink is now powering Europe’s first commercial satellite-to-smartphone service, as Virgin Media O2 launches a space-based mobile data offering across the UK.

The new O2 Satellite service uses Starlink’s low-Earth orbit network to connect regular smartphones in areas without terrestrial coverage, expanding O2’s reach from 89% to 95% of Britain’s landmass.

Under the rollout, compatible Samsung devices automatically connect to Starlink satellites when users move beyond traditional mobile coverage, according to Reuters.

The service initially supports text messaging along with apps such as WhatsApp, Facebook Messenger, Google Maps and weather tools. O2 is pricing the add-on at £3 per month.

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By leveraging Starlink’s satellite infrastructure, O2 can deliver connectivity in remote and rural regions without building additional ground towers. The move represents another step in Starlink’s push beyond fixed broadband and into direct-to-device mobile services.

Virgin Media O2 chief executive Lutz Schuler shared his thoughts about the Starlink partnership. “By launching O2 Satellite, we’ve become the first operator in Europe to launch a space-based mobile data service that, overnight, has brought new mobile coverage to an area around two-thirds the size of Wales for the first time,” he said.

Satellite-based mobile connectivity is gaining traction globally. In the U.S., T-Mobile has launched a similar satellite-to-cell offering. Meanwhile, Vodafone has conducted satellite video call tests through its partnership with AST SpaceMobile last year.

For Starlink, the O2 agreement highlights how its network is increasingly being integrated into national telecom systems, enabling standard smartphones to connect directly to satellites without specialized hardware.

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