ROVR-Open-Dataset: A Large-Scale Depth Dataset for Autonomous Driving

ROVR OpenDataset is a large-scale open 3D dataset designed for autonomous driving, robotics, and 4D perception tasks. It features:

• One of the largest multi-modal datasets combining LiDAR and camera
• Over 10,000 hours of high-quality driving data collected across North America, Europe, and Asia
• Multi-sensor inputs: automotive-grade solid-state LiDAR, HD camera, RTK GNSS, and high-precision IMU
• Synchronized point cloud and image data for multi-task learning
• Semantic segmentation and 3D bounding box annotations coming soon
• Centimeter-level positioning accuracy enabled by GEODNET RTK corrections
• Free for academic research
• For commercial licensing, contact us at support@rovr.network

ROVR uses an automotive-grade sensor suite for reliable data capture under real-world conditions. The setup includes:

• LiDAR: 126-beam automotive-grade solid-state LiDAR
• Camera: Automotive-grade HD camera
• GNSS: Triple-frequency RTK receiver with global centimeter-level accuracy
• IMU: Automotive-grade IMU with low bias instability
• Processor: Embedded high-performance edge AI unit with 6 TOPS
• Storage: 1 TB onboard storage
• Protection: IP67 waterproof and dustproof rating