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Tesla patent reveals Autopilot’s efficient method to enhance object identification

Photo: Tesla

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Tesla has a new patent that aims to improve the accuracy and efficiency of identifying objects inside images, as captured through its vehicle’s Autopilot cameras.

The patent, titled “Enhanced Object Detection for Autonomous Vehicles Based on Field View,” outlines Tesla’s plan to focus high computational requirements on objects that are more critical for self-driving, while downsampling less critical image data.

The patent states, “There may be…image sensors positioned at different locations on the vehicle. Certain image sensors, such as forward-facing image sensors, may thus obtain images of a real-world location towards which the vehicle is heading. It may be appreciated that a portion of these images may tend to depict pedestrians, vehicles, obstacles, and so on that are important in applications such as autonomous vehicle navigation.”

After determining the type of object that’s before a vehicle, “the particular field of view may be cropped from an input image. A remaining portion of the input image may then be downsampled. The high resolution cropped portion of the input image and the lower resolution downsampled portion of the input image may then be analyzed by an object detector.”

Tesla vehicles utilize a series of eight cameras, or sensors, to identify and recognize real-world objects. The cameras obtain these images, which are sometimes pedestrians, other vehicles, animals, or other obstacles that are important to not only the safety of the driver in the Tesla vehicle but others as well. It is crucial that the cameras recognize these objects accurately and in real-time without any delay.

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Tesla CEO Elon Musk has mentioned in the past that Autopilot’s core code and 3D labeling is being finished. Once completed, the electric carmaker can efficiently roll out more functionalities of its Full Self-Driving suite.

3D labeling is an integral part of the FSD suite because it allows the Neural Network to process information more efficiently and can help Tesla’s vehicles learn about rare and unforeseen occurrences on the road. Anyone who has ever ridden in a car knows that expecting the unexpected is one of the best ways to avoid an accident. With over 3 billion miles of Autopilot driving under the company’s belt, Teslas have seen a lot more than any human being will ever see.

The importance of 3D labeling and accurate object identification is crucial to Tesla’s eventual rollout of a “feature complete” Full Self-Driving suite. Tesla has continued to improve driving visualizations in vehicles that operate with Hardware 3 by recognizing objects on the road that could be a barrier between the vehicle and safe travel. It seems the company’s primary focus with this patent is to dial in on the effectiveness of the car’s cameras and sensors, allowing for a more accurate depiction of what lies on the road ahead.

Read Tesla’s patent for Enhanced Object Detection for Autonomous Vehicles Based on Field View below.

ENHANCED OBJECT DETECTION FOR AUTONOMOUS VEHICLES BASED ON FIELD VIEW by Joey Klender on Scribd

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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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New Tesla Model Y Performance launches from Giga Berlin

The vehicle is produced at Gigafactory Berlin and is available to order now in Europe and the Middle East.

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Credit: Tesla

It took some time, but the new Tesla Model Y Performance is finally here. The new Model Y Performance features a blend of aerodynamic improvements, upgraded interior comforts, and high range enabled by new battery cells. 

The updated Model Y Performance is produced at Gigafactory Berlin and is available to order now in Europe and the Middle East. First deliveries are expected in 1-2 months.

Key Model Y Improvements

The new Model Y Performance sharpens the vehicle’s design and driving dynamics while adding subtle interior refinements. The revised variant now delivers 0–60 mph in 3.3 seconds, slightly quicker than its predecessor’s 3.5 seconds, while offering an EPA-estimated 308 miles of range, just about 1% less than the non-performance Dual Motor All Wheel Drive variant. Top speed is listed at 155 mph.

The exterior of the new Model Y Performance features new front and rear fascias, along with a carbon fiber spoiler designed for greater downforce and reduced drag. Staggered wheels and tires provide improved steering precision and grip, while high-performance brakes offer enhanced pedal feel and better heat management. The ride is supported by adaptive suspension that adjusts damping based on road conditions, paired with unique drive modes tailored for high-speed performance. Ground clearance is listed at 6.1 inches, and weight is listed at 2,033 kilograms (4,482 pounds).

Tech and Interior

Inside, Tesla has added carbon fiber decor, expanded ambient lighting in the footwells and door pockets, and upgraded seating. The first-row sport seats now include power recline, power tilt, heating, ventilation, and powered thigh extensions for added support during cornering. Rear passengers receive perforated heated seats with power recline. A new 16-inch QHD center touchscreen anchors the cabin’s technology suite.

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Additional upgrades include eight exterior cameras, with the refreshed design introducing a new forward-facing unit. The high-density battery pack also boosts charge capacity but also helps maintain range despite the Performance model’s added power output.

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Elon Musk reveals when SpaceX will perform first-ever Starship catch

“Starship catch is probably flight 13 to 15, depending on how well V3 flights go,” Musk said.

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Credit: SpaceX

Elon Musk revealed when SpaceX would perform the first-ever catch attempt of Starship, its massive rocket that will one day take life to other planets.

On Tuesday, Starship aced its tenth test flight as SpaceX was able to complete each of its mission objectives, including a splashdown of the Super Heavy Booster in the Gulf, the deployment of eight Starlink simulators, and another splashdown of the ship in the Indian Ocean.

It was the first launch that featured a payload deployment:

SpaceX Starship Flight 10 was so successful, it’s breaking the anti-Musk narrative

SpaceX was transparent that it would not attempt to catch the Super Heavy Booster, something it has done on three previous occasions: Flight 5 on October 13, 2024, Flight 7 on January 16, and Flight 8 on March 6.

This time, it was not attempting to do so. However, there are bigger plans for the future, and Musk detailed them in a recent post on X, where he discussed SpaceX’s plans to catch Starship, which would be a monumental accomplishment.

Musk said the most likely opportunities for SpaceX to catch Starship itself would be Flight 13, Flight 14, and Flight 15, but it depends on “how well the V3 flights go.”

The Starship launched with Flight 10 was a V2, which is the same size as the subsequent V3 rocket but has a smaller payload-to-orbit rating and is less powerful in terms of initial thrust and booster thrust. Musk said there is only one more V2 rocket left to launch.

V3 will be the version flown through 2026, as V4, which will be the most capable Starship build SpaceX manufactures, is likely to be the first company ship to carry humans to space.

Musk said that SpaceX planned to “hopefully” attempt a catch of Starship in 2025. However, it appears that this will likely be pushed back to 2026 due to timing.

SpaceX will take Starship catch one step further very soon, Elon Musk confirms

SpaceX would need to launch the 11th and 12th test flights by the end of the year in order to get to Musk’s expected first catch attempt of Flight 13. It’s not unheard of, but the company will need to accelerate its launch rate as it has only had three test flights this year.

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Tesla Robotaxi rival Waymo confirms massive fleet expansion in Bay Area

New data from the California Public Utilities Commission (CPUC) said Waymo had 1,429 vehicles operating in California, and 875 of them were “associated with a terminal in San Francisco,” according to The SF Examiner.

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Credit: Uber

Tesla Robotaxi rival Waymo has confirmed that it has expanded its fleet of driverless ride-sharing vehicles in the Bay Area of California massively since its last public disclosure.

It is perhaps one of the most important metrics in the race for autonomous supremacy, along with overall service area. Tesla has seemed to focus on the latter, while expanding its fleet slowly to maintain safety.

Waymo, on the other hand, is bringing its fleet size across the country to significant levels. In March, it told The SF Examiner that there were over 300 Waymos in service in the San Francisco area, which was not a significant increase from the 250 vehicles on the road it reported in August 2023.

In May, the company said in a press release that it had more than 1,500 self-driving Waymos operating nationwide. More than 600 were in the San Francisco area.

Tesla analyst compares Robotaxi to Waymo: ‘The contrast was clear’

However, new data from the California Public Utilities Commission (CPUC) said Waymo had 1,429 vehicles operating in California, and 875 of them were “associated with a terminal in San Francisco,” according to The SF Examiner.

CPUC data from March 2025 indicated that there were a total of 1,087 Waymo vehicles in California, with 762 located in San Francisco. Some were test vehicles, others were deployed to operate as ride-sharing vehicles.

The company’s August update also said that it deploys more than 2,000 commercial vehicles in the United States. That number was 1,500 in May. There are also roughly 400 in Phoenix and 500 in Los Angeles.

While Waymo has done a good job of expanding its fleet, it has also been able to expand its footprint in the various cities it is operating in.

Most recently, it grew its geofence in Austin, Texas, to 90 square miles. This outpaced Tesla for a short period before the company expanded its Robotaxi service area earlier this week to roughly 170 square miles.

Tesla one-ups Waymo once again with latest Robotaxi expansion in Austin

The two companies have drastically different approaches to self-driving, as Waymo utilizes LiDAR, while Tesla relies solely on cameras for its suite. Tesla CEO Elon Musk has made no mistake about which he believes to be the superior solution to autonomy.

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