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."
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.
https://www.kitware.com/darpa-headlights-dataset/
See all datasets managed by Kitware.
DARPA Invisible Headlights Dataset was accessed on DATE from https://registry.opendata.aws/darpa-invisible-headlights. "@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}
}"
arn:aws:s3:::ihdataset-01us-east-2aws s3 ls --no-sign-request s3://ihdataset-01/