# 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.