Tesla FSD Beta V10.6 Release Notes Leak Shows Significant Improvement in Vision

by Eva Fox December 05, 2021

Tesla FSD Beta V10.6 Release Notes Leak Shows Significant Improvement in Vision

Photo: @arctechinc/Twitter

Tesla is gearing up to release the FSD Beta V10.6 update soon, which will contain notable and welcome improvements. Recently, leaked release notes detailed major changes, indicating improvements in vision, accuracy in high curvature and nighttime cases, and improved smoothness and safety during unprotected left turns and when merging.

Tesla is steadily getting closer to reaching level 5 autonomy by improving its Full Self-Driving (FSD) Beta. A number of improvements that have been made in the updates indicate significant progress in this direction. While car drivers still have to be extremely careful while driving and be ready to intervene at any time, cars can already go from one place to another without driver intervention, which works especially well in some locations.

Recall that a few months ago, Tesla abandoned the use of sensors, and its FSD system now relies entirely on cameras. This in turn requires hard work to make the vision of the system perfect enough for the software to drive the vehicle extremely safely. Recently leaked V10.6 release notes, which distributed to Tesla employees, point to improvements in vision, accuracy in cases of large curvature and at nighttime cases, increased smoothness and safety during unprotected left turns and when merging. u/110110/Reddit shared a photo of the release notes:

  • Improved object detection network architecture for non-VRUs (e.g. cars, trucks, buses). 7% higher recall. 16% lower depth error, and 21% lower velocity error for crossing vehicles.
  • New visibility network with 18.5% less mean relative error.
  • New general static object network with 17% precision improvements in high curvature and nighttime cases.
  • Improved stopping position at unprotected left turns while yielding to oncoming objects, using object predictions beyond the crossing point.
  • Allow more room for longitudinal alignment during merges by incorporating modeling of merge region end.
  • Improved comfort when offsetting for objects that are cutting out of your lane.

© 2021, Eva Fox | Tesmanian. All rights reserved.

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Article edited by @SmokeyShorts, you can follow him on Twitter









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