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Tesla FSD 12.5.6 smoothens visualizations by fixing a 4 year old bug

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Tesla Full Self Driving (FSD) Visualizations

Tesla is rolling out Full Self Driving (FSD) version 12.5.6 for non-Cybertruck models with improved real-time visualizations for a better self-driving experience.

Users shared feedback on social media site X and confirmed that the visualizations are improved compared to FSD 12.5.4 and prior releases.

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Video clips reveal that vehicle movement, lane projection, upcoming and parallel traffic, and visualization speed have increased dramatically. In comparison, the previous FSD version has a bit laggy rendering for each of these aspects.

Since FSD 11 or 12 versions, Tesla has not made any major changes to the visualizations. Ashok Elluswamy, Tesla’s AI member shed some light on the core problem that limited the real-time rendering.

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Ashok said the new rendering was achieved after fixing a 4-year-old bug. However, he didn’t reveal any further details about the bug. Four years is a long duration but the result is worth noticing.

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Tesla uses a neural network computer to process visual input from the car’s onboard camera system. It captures footage of the surroundings and processes it in real time.

Behind the scenes, software algorithms, visual engine, and user interface work in harmony to project this data on the front screen to help users understand the upcoming and parallel traffic, lanes, lane projection, turn radius, objects, traffic signals, and more.

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This may be the first step for the visual optimizations and we may see more improvements in this section with new FSD builds.

Related – Tesla FSD 12.5.6 rolling out for Model 3, Y, S, and X

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FSD 12.5.6

This version brings previously promised features including vision-based attention monitoring with sunglasses. The system won’t prompt an attention warning if you wear sunglasses.

The update also includes end-to-end on highway, natural lane change decisions, updated driver profiles, and new max speed settings. This version is rolling out in batches for AI4 cars and it could expand to AI3 in the future.

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Timothy started learning about game development and electronics at the age of 17. After involvement in different projects, he switched to Android app development and began pursuing smart hardware mechanics. Later on, he became fond of writing and tech journalism. Timothy covers major topics about internet personality, business, EV, Space, Social Media, and more. He loves to watch survival videos and try to find out new facts about the ocean and animals.