| 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. |
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| license: cc-by-nc-sa-4.0 |
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| ## Citation |
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| If you use this dataset in your research, please cite our paper: |
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| ```bibtex |
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| @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} |
| } |
| ``` |
