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Guidebook on machine learning techniques for road quality monitoring
Resilient all-weather roads enable crucial access to services and economic opportunities, yet assessing and monitoring road quality can be costly and time-consuming. This publication explains how smartphones, open-source satellite imagery, and artificial intelligence can be used to augment traditional surveys to improve road data in cost-effective and efficient ways. It draws on a study developed in collaboration with the World Data Lab and the governments of the Philippines and Thailand, supported by the Japan Fund for Prosperous and Resilient Asia and the Pacific.
Ketersediaan
| Call Number | Location | Available |
|---|---|---|
| ADB Repository Online | 0 |
| Penerbit | Manila: ADB 2025 |
|---|---|
| Edisi | - |
| Subjek | Information and Communications Technology |
| ISBN/ISSN | 9789292772321 |
| Klasifikasi | NONE |
| Deskripsi Fisik | x, 142 p. |
| Info Detail Spesifik | - |
| Other Version/Related | Tidak tersedia versi lain |
| Lampiran Berkas |