Automated optimal parking slot prediction using deep learning and digital twin technology aided parking space management for material science application
As vehicles on the roadside increase exponentially, drivers find it complicated to recognize parking areas. This makes it essential to identify an optimized model for resolving the vehicle-parking issues. In other words, a practical model must be implemented to identify outdoor parking slot status u...
| 出版年: | ALEXANDRIA ENGINEERING JOURNAL |
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| 主要な著者: | , , , , |
| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
ELSEVIER
2025
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| 主題: | |
| オンライン･アクセス: | https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001447049000001 |