FRED: A Multi-Modal Autonomous Driving Dataset for Flooded Road Environments
Researchers have introduced the Flooded Road Environments Dataset (FRED), the first multi-modal dataset designed for autonomous driving in flooded conditions. FRED includes synchronized data from cameras, LiDAR, and IMU sensors, captured across five locations during and after flood events. The dataset is released in KITTI-style and RTMaps formats, complete with semantic labels to facilitate the development and evaluation of water hazard detection systems. AI
IMPACT Enables development of specialized AI for autonomous vehicles to navigate hazardous flooded road conditions.