ZeqADAS

Powertrain, ADAS, telemetry, diagnostics.

• Protocol ID — zeq-adas
• Category — Automotive
• Endpoint — POST /api/auto/adas
• Auth — api-key
• Rate limit — 30/min
• Version — 1.287.0
• Precision — ≤0.1% (KO42-enforced)

What it does

Advanced driver assistance — sensor fusion (camera/radar/LiDAR) on Zeqond frames, lane keeping, adaptive cruise control, collision avoidance with R(t) reaction timing.

Signature

Request

POST /api/auto/adas

Param	Type	Required	Default	Description
sensorFusion	object	✓	—	Fused sensor detections: objects, lanes, signs.
vehicleState	object	✓	—	{ speed_ms, heading, acceleration }
mode	string		"full"	'lane-keep', 'acc', 'aeb', 'full'.

Response

{ steeringCmd_deg, throttle_pct, brakeCmd_pct, warnings, zeqond }

Runnable example

curl -sS -X POST \
  -H "Authorization: Bearer $ZEQ_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "sensorFusion": {},
  "vehicleState": {},
  "mode": "full"
}' \
  "https://api.zeq.dev/api/auto/adas"

Integrate

1. Domain solver — compose with KO42 + two additional operators from the matching family for pulse-coherent results.
2. Digital twin — pipe sensor data into this protocol every Zeqond to keep the model phase-locked with the system.
3. Alert threshold — flag results whose error_pct exceeds 0.1% as out-of-spec events for the operations layer.

Seeds

• Near — wrap /api/auto/adas in a language SDK so builders can call it in three lines.
• Medium — publish a reference integration demonstrating ZeqADAS alongside a real workload, with pulse-aligned metrics.
• Far — propose ZeqADAS as an open reference standard so other runtimes can implement it verbatim against the Zeq paper.

Papers

• Zeq paper — https://doi.org/10.5281/zenodo.18158152
• Framework paper — https://doi.org/10.5281/zenodo.15825138

Middleware active. Kernel on the 1.287 Hz HulyaPulse. Awaiting next Zeqond.