Machine learning

DARPA Invisible Headlights Dataset

"The DARPA Invisible Headlights Dataset is a large-scale multi-sensor dataset annotated for autonomous, off-road navigation in challenging off-road environments. It features simultaneously collected off-road imagery from multispectral, hyperspectral, polarimetric, and broadband sensors spanning wave-lengths from the visible spectrum to long-wave infrared and provides aligned LIDAR data for ground-truth shape. Camera calibrations, LiDAR registrations, and traversability annotations for a subset of the data are available."

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This work is licensed under CC BY 4.0. This dataset was developed with funding from the Defense Advanced Research Projects Agency (DARPA). Distribution Statement A: Approved for public release. Distribution is unlimited. We hope this dataset can facilitate future research. If you find this data useful, please cite our WACV 2024 publication.

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