What sensor data formats does RT-Fusion deliver?

RT-Fusion delivers time-stamped MP4 video files paired with GPMF telemetry (GPS + 200Hz IMU accelerometer and gyroscope data) and JSON metadata per scene. Assets are directly ingestible via ROS 2 bag conversion or PyTorch DataLoader — no custom tooling required.

What edge cases does RT-Fusion capture?

RT-Fusion specialises in adversarial failure modes that simulators cannot render: heavy rain and dirty windshield occlusion, low-sun lens flare and glare, wet road reflections, high-density VRU (pedestrian and cyclist) interactions, narrow European urban infrastructure, and complex roundabouts. Scenarios are customised per client brief.

What is RT-Fusion's pricing?

Acquisition days are priced at €1,500–€2,500 per day. Multi-day campaigns and recurring field deployments are quoted per project. All deliverables include time-stamped MP4, GPMF telemetry, and JSON metadata.

Which countries does RT-Fusion operate in?

RT-Fusion is based in Venlo and Amsterdam, Netherlands, and is deployable across NL, DE, BE, FR, AT, and CH within 48 hours' notice.

Is RT-Fusion data compliant with the EU AI Act?

Yes. RT-Fusion is EU-native and built with AI Act Article 10 data governance requirements in mind. Chain-of-custody documentation is provided for all sensor deployments. Post-acquisition anonymisation (face and licence plate blurring) is available on request.

What hardware does RT-Fusion use?

RT-Fusion uses a dual-sensor rig: a chest-mounted GoPro Hero 13 (5.3K, 10-bit GP-LOG, 200Hz IMU/GPS) as the World Sensor, paired with a head-worn Ray-Ban Meta Gen 2 as the Gaze Sensor for head-pose and intent capture. Both streams run in parallel with audio-synced timestamps.

RT-Fusion | Real-World Edge-Case Sensor Data

IMU Frequency 200 Hz TRACKING ◆ Color Depth 10-BIT GP-LOG ◆ Telemetry GPMF LOCK ◆ Pipeline NATIVE INGESTION ◆ Scenarios 7 ODDs ACTIVE ◆ Sensor Pairs DUAL-STREAM SYNC ◆ EU Coverage 6 COUNTRIES ACTIVE ◆ Deployment 48H NOTICE ON-DEMAND ◆ IMU Frequency 200 Hz TRACKING ◆ Color Depth 10-BIT GP-LOG ◆ Telemetry GPMF LOCK ◆ Pipeline NATIVE INGESTION ◆ Scenarios 7 ODDs ACTIVE ◆ Sensor Pairs DUAL-STREAM SYNC ◆ EU Coverage 6 COUNTRIES ACTIVE ◆ Deployment 48H NOTICE ON-DEMAND ◆

/// THE MISSING LAYER IN YOUR STACK

Whether you rely on LiDAR, Radar, or pure Vision, your model needs real-world context and observable intent. RT-Fusion deploys on-demand to acquire the specific European failure modes your simulators cannot render: sensor degradation in rain, glare-induced false negatives, and unpredictable VRU behavior at uncontrolled crossings.

Adversarial Weather

The Problem: Lidar absorbs water; RGB cameras blind in glare.

Acquisition Focus: Heavy rain, dirty windshields, low-sun lens flare, and wet road reflections. Train your model to survive sensor degradation.

Human Intent Capture (Gaze & Head-Pose)

The Problem: Bounding boxes don't show intent.

Acquisition Focus: Head-locked First Person View (FPV) captures the operator's visual saliency. Teach your model what a human focuses on before they act.

Complex Infrastructure

The Problem: US-centric datasets fail in dense European cities.

Acquisition Focus: Narrow Dutch streets, complex roundabouts, and high-density cyclist interactions (VRU). Rapidly deployable across DE, BE, FR, AT, and CH for domain-specific ground truth.

/// THE PROXY STACK

HARDWARE_ID: EU_V2.5

Chest-mounted GoPro (world-view) + head-worn Ray-Ban Meta (gaze-view), running in parallel with audio-synced timestamps.

[ WORLD SENSOR ]

KINEMATICS & CONTEXT

HARDWARE: GOPRO HERO 13 (CUSTOM ACQUISITION RIG)

RESOLUTION 4K (CONFIG A) / 5.3K (CONFIG B)
COLOR SCIENCE GP-LOG (10-BIT)
TELEMETRY GPS + ACCEL + GYRO
POWER WEATHERPROOF CONTINUOUS MAG-LINK
MOUNTING VIBRATION-ISOLATED

Captures the "World Model." High dynamic range handles the "Tunnel Exit" blinding light problem. Rolling shutter stress-tests VIO pipelines against vibration artifacts.

[ GAZE SENSOR ]

INTENT & GAZE

HARDWARE: RAY-BAN META GEN 2

DATA STREAM 3K (CONFIG C1) / 1080p (CONFIG C2)
AUDIO BINAURAL SPATIAL ARRAY
POV ALIGNMENT TRUE HUMAN EYE-LEVEL
SOCIAL CUES MICRO-GESTURE CAPTURE
TARGETING CENTER-FRAME GAZE LOCK

Captures the 'Agent Model.' Solves the High-Density VRU problem by recording the eye-contact negotiation and intent signaling that LiDAR cannot see.

/// GROUND TRUTH EVIDENCE

Reference captures demonstrating acquisition methodology and output quality. Raw sensor output. No stabilization. No grading. Pure entropy.

SCENARIO A: HIGH-ENTROPY ENVIRONMENT // VRU INTENT

REC ISO: 200

VRU_DENSITY: CRITICAL GPS: 52.3676° N, 4.9041° E

SCENARIO B: VERTICAL GEOMETRY // 6DOF SLAM

REC SHUTTER: 1/1250

VIO_STRESS: HIGH Z-AXIS: UNSTABLE

[ INSPECT FULL SAMPLE PORTFOLIO — 7 SCENARIOS, PAIRED SENSORS ]

/// ENGINEERED FOR INTEGRATION

RT-Fusion delivers structured, time-synchronized assets. Every frame is mapped to IMU telemetry and operator head-pose, enabling direct ingestion into standard machine learning and robotics pipelines.

World Sensor GoPro Hero 13 (5.3K)

Gaze Sensor Ray-Ban Meta Gen 2 (Raw)

Telemetry GPMF (GPS + IMU)

Sync Protocol Audio/IMU Event Alignment

metadata_sample.json


{
  "timestamp_utc": "2026-02-11T09:14:22.045Z",
  "frame_id": 4920,
  "environment": {
      "location": "NL_Amsterdam_Canal_District",
      "weather": "overcast_diffuse",
      "surface": "asphalt_bike_lane"
  },
  "telemetry": {
      "imu_accel_x_y_z": [0.02, -0.81, 0.15],
      "speed_mps": 5.8
  },
  "sensors": {
      "world_cam_file": "GH010492.MP4",
      "attention_cam_file": "RM010492.MP4",
      "head_pose_proxy": true
  }
}

All assets delivered as time-stamped MP4 + GPMF telemetry, directly ingestible via ROS 2 bag conversion or PyTorch DataLoader.

Optimized For Standard Engineering Pipelines

ISAAC

PyTorch

OpenCV

/// THE OPERATOR

CREDENTIALS // METHODOLOGY

ARTY ZUEV

10+ years in professional media production — camera systems, color science, lighting, and post-production — across commercial, documentary, and marketing projects in the EU. When the industry shifted from language models to real-world perception, I identified a critical gap: companies building autonomous systems in Europe had no dedicated, on-demand source for the specific adversarial edge cases that break production stacks. RT-Fusion was built to close that gap — applying professional acquisition methodology to capture the high-entropy sensor data that simulators cannot render and US-centric datasets do not contain.

Based In Venlo / Amsterdam, NL

Coverage NL (Active) · DE · BE · FR · AT · CH (Deployable)

Acquisition Capacity 4h+ continuous dual-sensor // Rapid deployment, 48h notice

Arty Zuev — RT-Fusion operator with dual-sensor capture rig on location in the Netherlands

/// A COMPLETE DELIVERY

FROM BRIEF TO PIPELINE-READY DATASET

STEP 01

Deployment Brief

You specify target failure modes, locations, and environmental conditions. Campaign scoped per acquisition day.

STEP 02

On-Location Capture

Dual-sensor rig deploys to target location. GoPro 5.3K World-View + Ray-Ban Meta Gaze-View running in parallel. 4h+ continuous acquisition.

STEP 03

Structured Delivery

Time-stamped MP4 + GPMF telemetry, paired with JSON metadata per scene. All clips indexed by failure mode category and sensor config.

STEP 04

Pipeline Ingestion

Convert directly to ROS 2 bag via rosbag2, or load into a PyTorch DataLoader. GPMF telemetry parsed with gopro2gpx. Zero custom tooling required.

/// DIRECT ENGINEERING FEED

ESTABLISH UPLINK

Direct line to Engineering. No sales agents.

Prefer async? [email protected]

// Pricing: €1,500–€2,500 per acquisition day. Multi-day campaigns and recurring field deployments quoted per project. All deliverables include time-stamped MP4 + GPMF telemetry + JSON metadata.

— or submit a full brief below:

ENCRYPTION: PGP-4096 // CONNECTION: SECURE