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DARPA Invisible Headlights Dataset

autonomous vehicles broadband computer vision lidar machine learning segmentation us


"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."

Update Frequency

No updates anticipated at this time.


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.


Managed By


See all datasets managed by Kitware.


How to Cite

DARPA Invisible Headlights Dataset was accessed on DATE from "@inproceedings{yellin2024concurrent, title={Concurrent Band Selection and Traversability Estimation From Long-Wave Hyperspectral Imagery in Off-Road Settings}, author={Yellin, Florence and McCloskey, Scott and Hill, Cole and Smith, Eric and Clipp, Brian}, booktitle={Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision}, pages={7483--7492}, year={2024} }"

Resources on AWS

  • Description
    Various types of multispectral, hyperspectral, polarimetric, and broadband imagery (i.e. jpg, bsq, hdr, envi, raw, bmp); LiDAR data (i.e. pcap, las); and metadata (i.e., txt, xlsx, csv).
    Resource type
    S3 Bucket
    Amazon Resource Name (ARN)
    AWS Region
    AWS CLI Access (No AWS account required)
    aws s3 ls --no-sign-request s3://ihdataset-01/

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