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Tesla: Add new Model S HW4 fingerprint - #1

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lukasloetkolben merged 1 commit into
xnor-tech:master-xnorfrom
AmyJeanes:patch-1
Sep 3, 2025
Merged

Tesla: Add new Model S HW4 fingerprint#1
lukasloetkolben merged 1 commit into
xnor-tech:master-xnorfrom
AmyJeanes:patch-1

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This is on the newest Tesla firmware 2025.32 with the Low Power Mode update

Validation

  • Dongle ID: 6b7160d3069ea6cb
  • Route: 6b7160d3069ea6cb/0000001b--12c04754d4

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Thanks for contributing to opendbc! In order for us to review your PR as quickly as possible, check the following:

  • Convert your PR to a draft unless it's ready to review
  • Read the contributing docs
  • Before marking as "ready for review", ensure:
    • the goal is clearly stated in the description
    • all the tests are passing
    • include a route or your device' dongle ID if relevant

@lukasloetkolben
lukasloetkolben merged commit 9685de9 into xnor-tech:master-xnor Sep 3, 2025
2 of 9 checks passed
@AmyJeanes
AmyJeanes deleted the patch-1 branch September 24, 2025 01:19
dirkpetersen added a commit to dirkpetersen/pnw-opendbc that referenced this pull request Jul 11, 2026
…4-signal path (xnor-tech#1)

Ports BluePilot's (alan-polk) compute_dm_msg_values + get_dm_state 1:1 and
wires the rich create_acc_ui_msg for the 4-signal lateral path: BlueCruise
blue display + DM-state-driven TJA cluster text (Resume Control / Cancelled /
hands-on prompts / lane-departure), computed from selfdriveState.alertType
(already subscribed by LateralCurvExt). Display-only — ACCDATA_3 (0x18A) is
TX-allowlisted, no panda safety surface (Gemini: no crash/None risk, no
steering/accel path, Tesla + non-Lightning Fords untouched via the
self._latext is None fallback). NO panda reflash (opendbc car Python only).

(xnor-tech#3 lane-change curvature scaling was ALREADY live — it's inside the
LateralCurvExt flashed with the 4-signal safety.)

Attribution: mechanism by alan-polk (BluePilot).

Co-Authored-By: Claude Fable 5 <[email protected]>
Claude-Session: https://claude.ai/code/session_01F3TLcBEaF2vpj9j8g3Nqc2
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2 participants