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This repository contains the datasets used in the NeoARCADE paper. It includes ground-truth distance measurements for various objects along with their associated metadata, as summarized in Table 1.
license: cc-by-nc-sa-4.0
Citation
If you use this dataset in your research, please cite our paper:
@article{10.1145/3828721,
author = {Raj, Suman and Madhabhavi, Bhavani A and Kumar, Madhav and Gupta, Prabhav and Simmhan, Yogesh},
title = {NeoARCADE: Robust Calibration for Distance Estimation to Support Assistive Drones for the Visually Impaired},
year = {2026},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
issn = {2378-962X},
url = {https://doi.org/10.1145/3828721},
doi = {10.1145/3828721},
note = {Just Accepted},
journal = {ACM Trans. Cyber-Phys. Syst.},
month = jul,
keywords = {Distance Estimation, Assistive technologies, Unmanned Aerial Vehicles, Computer Vision, Calibration Techniques, Edge computing}
}
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