Original systems-thinking series

Engineering Notes

Product-neutral studies of how ADAS functions depend on sensing, vehicle state, software decisions, networks, actuation, operating context, and evidence.

06 published notes · Versioned and source-led

Start with the function. Then expose every dependency.

01

Define the boundary

State what is inside the model, what remains outside it, and what the note does not claim.

02

Trace the chain

Connect inputs, estimates, decisions, outputs, feedback, and supporting vehicle systems.

03

Keep uncertainty visible

Separate an observation from a hypothesis, and a hypothesis from a verified conclusion.

04

Ask for evidence

Identify the records, conditions, procedures, and measurements needed before making a decision.

Notes 01–06

Each note is an independent educational synthesis. Every diagram, matrix, checklist, and synthetic case is created specifically for Project VISION ADAS and does not reproduce an OEM architecture.

Note 01AEB · Vehicle systems
August 12, 2026 · Version 1.0

Automatic Emergency Braking as a Vehicle-Level System

A dependency map showing why AEB performance cannot be understood from one sensor, one module, or one warning indicator alone.

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Note 02Diagnostics · Camera and radar
August 12, 2026 · Version 1.0

Camera–Radar Diagnostic Evidence Matrix

Compare five fault and limitation domains without treating one warning, one DTC, or one visual observation as a complete diagnosis.

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Note 03Calibration · Readiness
August 12, 2026 · Version 1.0

ADAS Calibration Readiness Packet

A printable readiness gate that directs every specification and procedure decision back to current vehicle-specific OEM information.

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Note 04Validation thinking · Lane support
August 12, 2026 · Version 1.0

Lane-Support Validation Scenario

Build a controlled lane-support scenario matrix while keeping operational context, driver responsibility, measurements, and the validation boundary visible.

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Note 05Vehicle networks · Diagnostics
August 12, 2026 · Version 1.0

Synthetic CAN/UDS Diagnostic Case Study

Follow a fictional vehicle-speed data concern across CAN signal flow and UDS diagnostic evidence while keeping network, application, and inference boundaries clear.

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Note 06Perception · Sensor fusion
August 12, 2026 · Version 1.0

Sensor-Fusion Conflict Study

Trace a camera–radar conflict through time alignment, coordinates, association, tracking, confidence, supervision, and safe system response.

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Engineering education—not vehicle-specific authority.

These notes develop systems reasoning through conceptual models, synthetic examples, and public references. The learning method is connected to Project DRIVE, while Project VISION remains the separate public-safety framework. These notes are not OEM service information, calibration instructions, completed vehicle validation, regulatory compliance evidence, or certification of system performance.