BLADE-AV Governance Node: Authority-Governed Drive-by-Wire Safety Architecture for Autonomous Vehicles. Authority-governed drive-by-wire safety architecture for autonomous vehicles implementing the 9-module governance pipeline. 62 components, 57 EC, 55 MC, ISO 26262 ASIL-D, ~$16K BOM.

blade-avautonomous-vehicledrive-by-wirejetson-orinzynq-fpgasatahmaaadaramaivaflamecaraiso-26262asil-d
2,800+ lines 10 files CC BY 4.0 DOI: 10.5281/zenodo.19232130
main 10 files · v2.2 · Mar 2026
blade-av-simulation.htmlInteractive governance simulator · 9-module pipeline v2.2 · 6 threat scenariosMar 2026
blade-av-paper.pdfResearch paper: governance architecture, D-S equations, fail-safe circuit, simulation results (PDF)Mar 2026
blade-av-BLUEPRINT.pdfFull engineering blueprint (62 components)Mar 2026
blade-av-BOM.csv62-component BOM with costs and verified sources (CSV)Mar 2026
blade-av-ELECTRICAL.json57 electrical connections with protocols and voltages (JSON)Mar 2026
blade-av-MECHANICAL.json55 mechanical connections with fastener specs (JSON)Mar 2026
blade-av-CONFIG.jsonFull system configuration with component parameters (JSON)Mar 2026
blade-av-GUIDE.mdAssembly guide with fail-safe wiring and ISO 26262 checklist (MD)Mar 2026
blade-av-schematic.pngSystem schematic diagram (62 components, color-coded)Mar 2026
LICENSECC BY 4.0Mar 2026
README.md

BLADE-AV Governance Node

Authority-Governed Drive-by-Wire Safety Architecture for Autonomous Vehicles

A hardware-enforced authority gating system for autonomous vehicle drive-by-wire control with three-leg redundant fail-safe circuit. Integrates 9-module governance pipeline (SATA → ADARA → IFF → HMAA → MAIVA → FLAME → CARA → BDA → EFFECTOR). Zero unsafe actions across 1,200 runs. ISO 26262 ASIL-D target.

Publication

DOI: 10.5281/zenodo.19232130
Author: Burak Oktenli · Georgetown University, MPS Applied Intelligence
ORCID: 0009-0001-8573-1667
License: CC BY 4.0 · Version: v2.2 · March 2026

Key Specifications

  • Compute: NVIDIA Jetson AGX Orin 64GB + Trenz TE0808-05 Zynq UltraScale+ SoM
  • Sensors: Continental ARS540 radar, Ouster OS1-64 LiDAR, GMSL2 camera, dual GNSS (ZED-F9R/F9P), Bosch SMI230 IMU
  • Comms: Qualcomm 9150 C-V2X, dual NXP TJA1145A/FD CAN-FD, MIL-DTL-38999
  • Security: Infineon SLB 9670 TPM 2.0, Microchip ATECC608B, dual MAX16161 ASIL-D watchdogs
  • Environment: IP67, liquid-cooled, -40°C to +85°C, automotive-grade (AEC-Q100)
  • Safety: KILOVAC LEV200 N/O relay, 3-leg redundant fail-safe (Zynq GPIO + Zynq WD + Jetson WD → BTS5016 → relay)
  • BOM: ~$16,287 prototype (62 components)

9-Module Pipeline (v2.2)

  • SATA: Weighted Dempster-Shafer fusion over automotive sensor suite (radar, LiDAR, camera, GNSS, IMU)
  • ADARA: Adversarial ML patch detection, V2X message spoofing, cross-sensor kinematic consistency
  • IFF: V2X identity verification via ATECC608B with IEEE 1609.2 certificate validation
  • HMAA: Trust-proportional drive-by-wire authority with 5-15s hysteresis and envelope clamping
  • MAIVA: V2X fleet consensus for cooperative driving authority coordination
  • FLAME: Mandatory hold windows before lane-change and emergency maneuvers
  • CARA: GREP-phase recovery with controlled stop and safe-pull-over sequences
  • BDA: Post-maneuver trust revalidation after lane-change or emergency braking
  • EFFECTOR: Three-leg redundant KILOVAC LEV200 fail-safe relay (Zynq GPIO + dual MAX16161 watchdog)

Threat Scenarios (Simulator)

  • Radar spoof — false obstacle injection via adversarial radar returns
  • Adversarial ML — adversarial patch attack on camera perception
  • GNSS spoof — GPS position falsification with IMU cross-validation
  • V2X spoof — falsified V2X Basic Safety Messages from rogue transmitter
  • RF jamming — communication link disruption affecting V2X and telemetry
  • Compound attack — simultaneous radar + camera + GNSS degradation

Related Work

  • SATA: 10.5281/zenodo.18936251
  • HMAA: 10.5281/zenodo.18861653
  • CARA: 10.5281/zenodo.18917790
  • ADARA: 10.5281/zenodo.19043924
  • MAIVA: 10.5281/zenodo.19015517
  • FLAME: 10.5281/zenodo.19015618

Author

Burak Oktenli
Georgetown University, M.P.S. Applied Intelligence
ORCID: 0009-0001-8573-1667
Website: burakoktenli.com