Tesla Releases New Full Self-Driving Beta 10.5 Update With Cool New Features

Tesla has started offering a new update to the Full Self-Driving Beta software (10.5) to the fleet this weekend.

It includes some cool new features based on the release notes, which you can find below.

Tesla is currently slowly rolling out what it calls Full Self-Driving Beta (FSD Beta), which is an early version of its autonomous driving software currently being tested by a fleet of company-selected Tesla owners and through its “test drive”. Security Goal. “

The software allows the vehicle to drive autonomously to a destination entered into the car’s navigation system, but the driver must remain alert and ready to take control at all times.

Since the responsibility lies with the driver and not Tesla’s system, it is still considered a Level 2 driver assistance system despite its name. It was sort of a ‘two steps forward, one step back’ type of program, as some updates have seen regressions in terms of driving ability.

In the latest updates, the automaker has released more details about the changes to driving behaviors in the release notes.

This is still the case here for a new update (10.5) that Tesla has started offering to owners of the Beta program in the United States with a safety score of 98 and above.

Tesla wrote about the changes to version 10.5 in the release notes:

  • Improved VRU (Pedestrian, Cyclist, Motorcycle) crossing speed error by 20% due to our improved automatic tagging quality.
  • Improved static world forecasts (roadlines, edges and lane connectivity) by up to 13% using new automatic static world tagging and the addition of 165,000 auto tagged videos.
  • Improved cone and sign detections by increasing the generalized static object network with an additional 15,000 video clips and adjusting over-sampling and overweighting strategies (+ 4.5% accuracy, + 10.4% recall) .
  • 5.5% improved cutoff detection network to help reduce false slowdowns.
  • Activation of the “emergency collision avoidance maneuver” in shadow mode.
  • Behavior change enabled to avoid mergers when it is safe to do so.
  • Improved merge object detection callback using multimodal object prediction at intersections.
  • Improved merge control by increasing the consistency of arrival time constraints and by accounting for possible merging of objects beyond visibility.
  • Improved lane changes by allowing greater deceleration limit in short lead times situations.
  • Improved lateral control to crawl forward for more visibility.
  • Improved modeling of road boundaries on high curvature roads for finer maneuvering.
  • Improved logic to stay on the road and avoid unnecessary detours / diversions.

Interestingly, Tesla provides real data and percentage improvement in certain abilities when quantifiable.

Notable points include Tesla improving static world detection by “up to 13%” by deploying a new automatic tagging system that used 165,000 new videos.

Tesla has relied heavily on a large team of thousands of “taggers” who literally review videos and mark what is visible to create clean data for Tesla’s machine learning systems.

But the automaker has also developed technology to automatically tag content for machine learning, and it looks like it has rolled out a new one that has helped shape this new version of FSD 10.5.

Another point that has caught the attention of many people is the addition of “Emergency collision avoidance maneuver” in shadow mode.

Looks like Tesla is adding the vehicle’s ability to perform larger emergency maneuvers to avoid crashes, which previously had more limitations due to Tesla limiting brutal steering maneuvers in its driver assistance systems. .

The feature is currently in ‘ghost mode’, which means the vehicles won’t actually perform the maneuver, but it will look for opportunities to do so based on real-world scenarios and send data to Tesla to see how it reacts. .

This new Full Self-Driving Beta 10.5 software is expected to be tested over the next few weeks before Tesla releases a new version and hopefully extends access to the software to more owners who have paid for it.

Fleet deployment has so far been much slower than CEO Elon Musk originally announced.

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