FRED: A Multi-Modal Autonomous Driving Dataset for Flooded Road Environments
The Flooded Road Environments Dataset (FRED) is, to our knowledge, the first multi-modal autonomous driving dataset specifically targeting the collection of data from scenarios involving water hazards on the road. The dataset contains images from a 2.3 MP FLIR Blackfly USB3 camera, 64-beam 360 degree point clouds from an Ouster OS1-64 LiDAR, and data from an iXblue ATLANS-C IMU corrected by a Geoflex RTK GNSS, from five separate locations captured both during and after flooding events. The data has been released in two formats: a KITTI-style format for easy integration with existing data tools, and the RTMaps format for direct replay of the vehicle's data capture. We provide semantic labe...
| Authors | Connor Malone, Sebastien Demmel, Sebastien Glaser |
|---|---|
| Primary category | cs.CV |
| Published | 21 May 2026 |
| Last updated at source | 2 June 2026 |
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