SCHEMA.md

Hyperion Drive AV Safety Intelligence Pack — Schema

One row = one complete driving event chain. All records share the same seven top-level fields.

Schema version: 1.0.0-hyperion-drive-sample

Top-level fields

schema_version — string

Schema identifier. Constant within a sample release.

event — struct

Identifier fields and the overall safety outcome for the chain.

Field	Type	Notes
id	string	Stable event identifier, e.g., HYPERION-100000.
trace_id	string (UUID)	Cross-links telemetry messages within the chain.
timestamp	string (ISO-8601)	Chain anchor time.
safety_criticality	string	low, medium, high, critical.
outcome	string	near_miss, minor_impact, emergency_braking_engaged, catastrophic_failure.
confidence	double	0–1 confidence of the outcome label.

vehicle_context — struct

Synthetic vehicle identity and operational context.

Field	Type	Notes
model	string	EV_Sedan_Alpha, Autonomous_Shuttle_V2, Heavy_Duty_Truck.
vin	string	Synthetic VIN, prefixed with SYN-VIN-. Not a real 17-char registered VIN.
drive_mode	string	manual_override, autopilot_assisted, autonomous.
mileage_km	int	Vehicle odometer reading in km.

perception_logic — struct

Driver of this chain — which perception or control subsystem failed, and how fast.

Field	Type	Notes
failure_class	string	Sensor_Fusion_Conflict, Mechanical_Latency_Failure, Perception_Hallucination.
causal_chain	list	Ordered event labels (e.g., ICE_DETECTED, TRACTION_CONTROL_ENGAGED, BRAKE_FLUID_PRESSURE_LAG, ABS_PUMP_STALL). Each label appears as the event_name of one can_bus_telemetry entry.
reaction_time_ms	int	End-to-end reaction time (ms).
tracked_signals	list	Which signal fields drive this failure (e.g., wheel_speed_kph, brake_pressure_bar).

can_bus_telemetry — list

Ordered CAN / Ethernet bus messages observed during the chain.

Message struct:

Field	Type	Notes
timestamp	string (ISO-8601)	Message timestamp.
vin	string	Synthetic VIN (SYN-VIN-*). Matches vehicle_context.vin.
event_name	string	Matches one item in perception_logic.causal_chain.
sensor_source	string	Originating sensor (e.g., Radar_Long_Range, Ultrasonic_Rear, Camera_Left_30, LIDAR_Roof).
bus_id	string	Bus identifier (CAN_0, CAN_1, ETH_INTERNAL).
signals.wheel_speed_kph	double	Wheel speed (kph).
signals.brake_pedal_pos	double	Brake pedal position (0–100).
signals.steering_angle_deg	double	Steering angle (degrees).
signals.sensor_health_pct	int	Composite sensor health (0–100).
signals.camera_confidence_pct	int	Camera detection confidence (0–100).
signals.lidar_noise_pct	int	LiDAR noise level (0–100).
signals.radar_distance_m	double	Closest radar return, meters.
signals.brake_pressure_bar	double	Brake line pressure (bar).
signals.traction_slip_pct	double	Traction slip percentage.

detection_logic — struct

Anomaly-signature metadata describing why this chain is flagged.

Field	Type	Notes
signature	string	Human-readable signature (e.g., Safety Violation: Mechanical_Latency_Failure detected).
anomaly_score	double	0–1. Higher = more anomalous.
baseline_deviation	string	Short English description of the deviation.

simulation — struct

Simulation engine provenance.

Field	Type	Notes
synthetic	bool	Always true.
engine	string	Simulation engine label (hyperion_physics_sim_v1).
chaos_profile	string	Black_Ice, Blinding_Glare, Intermittent_CAN_Bus_Error, Sensor_Ghosting.

Distribution of this sample

• 10,000 event chains total.
• Safety criticality: balanced (~2,500 per class).
• Failure class: balanced across 3 classes (~3,300 each).
• Vehicle model: balanced across 3 models (~3,300 each).
• Drive mode: balanced across 3 modes (~3,300 each).
• Chaos profile: balanced across 4 profiles (~2,500 each).

Sanitization notes

• Internal identifier prefix (SIMA-V4-AUTO-*) has been normalized to HYPERION-*.
• Internal physics engine code name (Hyperion-Physics-V2) has been normalized to hyperion_physics_sim_v1.
• VIN values have been replaced with a SYN-VIN-* prefix so they cannot be confused with real WMIs assigned to specific manufacturers.
• Vehicle model names are abstract placeholders (EV_Sedan_Alpha, Autonomous_Shuttle_V2, Heavy_Duty_Truck), not real product names.
• No real vehicle logs, real VINs, real user data, or identifiable information are present.

Relationship to the full pack

The production pack scales to 1M+ event chains with finer-grained signal sampling (ms-level CAN traces), expanded scenario coverage (rain, snow, construction zones, V2X signal loss, bus cyberattacks), additional vehicle classes (motorcycle, delivery robot, transit bus), per-sensor noise models, and ROS-bag / CAN DBC-aligned delivery. See the pack card for commercial access.