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3 Results for: Author: Jagwani, Satvat
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- research-articleNovember 2021
Updating Street Maps using Changes Detected in Satellite Imagery
- Favyen Bastani,
- Songtao He,
- Satvat Jagwani,
- Mohammad Alizadeh,
- Hari Balakrishnan,
- Sanjay Chawla,
- Sam Madden,
- Mohammad Amin Sadeghi
SIGSPATIAL '21: Proceedings of the 29th International Conference on Advances in Geographic Information SystemsPages 53–56https://doi.org/10.1145/3474717.3483651Accurately maintaining digital street maps is labor-intensive. To address this challenge, much work has studied automatically processing geospatial data sources such as GPS trajectories and satellite images to reduce the cost of maintaining digital ...
- research-articleOctober 2021
Inferring and improving street maps with data-driven automation
- Favyen Bastani,
- Songtao He,
- Satvat Jagwani,
- Edward Park,
- Sofiane Abbar,
- Mohammad Alizadeh,
- Hari Balakrishnan,
- Sanjay Chawla,
- Sam Madden,
- Mohammad Amin Sadeghi
Automatic map inference, data refinement, and machine-assisted map editing promises more accurate map datasets.
- ArticleAugust 2020
Sat2Graph: Road Graph Extraction Through Graph-Tensor Encoding
- Songtao He,
- Favyen Bastani,
- Satvat Jagwani,
- Mohammad Alizadeh,
- Hari Balakrishnan,
- Sanjay Chawla,
- Mohamed M. Elshrif,
- Samuel Madden,
- Mohammad Amin Sadeghi
AbstractInferring road graphs from satellite imagery is a challenging computer vision task. Prior solutions fall into two categories: (1) pixel-wise segmentation-based approaches, which predict whether each pixel is on a road, and (2) graph-based ...
