Integrating Google Maps and Smooth Street View Videos for Route Planning
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| Publicado en: | Journal of Imaging vol. 11, no. 8 (2025), p. 251-281 |
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| Autor principal: | |
| Otros Autores: | , , |
| Publicado: |
MDPI AG
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| Materias: | |
| Acceso en línea: | Citation/Abstract Full Text + Graphics Full Text - PDF |
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| 001 | 3244042818 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 2313-433X | ||
| 024 | 7 | |a 10.3390/jimaging11080251 |2 doi | |
| 035 | |a 3244042818 | ||
| 045 | 2 | |b d20250101 |b d20251231 | |
| 100 | 1 | |a Massimi Federica |u Signal Processing for Telecommunications and Economics Lab., University of Roma Tre, Via Silvio d’Amico 77, 00145 Rome, Italy | |
| 245 | 1 | |a Integrating Google Maps and Smooth Street View Videos for Route Planning | |
| 260 | |b MDPI AG |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a This research addresses the long-standing dependence on printed maps for navigation and highlights the limitations of existing digital services like Google Street View and Google Street View Player in providing comprehensive solutions for route analysis and understanding. The absence of a systematic approach to route analysis, issues related to insufficient street view images, and the lack of proper image mapping for desired roads remain unaddressed by current applications, which are predominantly client-based. In response, we propose an innovative automatic system designed to generate videos depicting road routes between two geographic locations. The system calculates and presents the route conventionally, emphasizing the path on a two-dimensional representation, and in a multimedia format. A prototype is developed based on a cloud-based client–server architecture, featuring three core modules: frames acquisition, frames analysis and elaboration, and the persistence of metadata information and computed videos. The tests, encompassing both real-world and synthetic scenarios, have produced promising results, showcasing the efficiency of our system. By providing users with a real and immersive understanding of requested routes, our approach fills a crucial gap in existing navigation solutions. This research contributes to the advancement of route planning technologies, offering a comprehensive and user-friendly system that leverages cloud computing and multimedia visualization for an enhanced navigation experience. | |
| 653 | |a Digital mapping | ||
| 653 | |a Navigation | ||
| 653 | |a Metadata | ||
| 653 | |a Video | ||
| 653 | |a Client server systems | ||
| 653 | |a Streets | ||
| 653 | |a Route planning | ||
| 653 | |a Cloud computing | ||
| 653 | |a Roads & highways | ||
| 653 | |a Vehicles | ||
| 653 | |a Multimedia | ||
| 700 | 1 | |a Tedeschi, Antonio |u Signal Processing for Telecommunications and Economics Lab., University of Roma Tre, Via Silvio d’Amico 77, 00145 Rome, Italy | |
| 700 | 1 | |a Bagadi Kalapraveen |u School of Electronics Engineering (SENSE), VIT-AP University, Amaravati 522 241, Andhra Pradesh, India; kalapraveen.b@vitap.ac.in | |
| 700 | 1 | |a Benedetto, Francesco |u Signal Processing for Telecommunications and Economics Lab., University of Roma Tre, Via Silvio d’Amico 77, 00145 Rome, Italy | |
| 773 | 0 | |t Journal of Imaging |g vol. 11, no. 8 (2025), p. 251-281 | |
| 786 | 0 | |d ProQuest |t Advanced Technologies & Aerospace Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3244042818/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text + Graphics |u https://www.proquest.com/docview/3244042818/fulltextwithgraphics/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3244042818/fulltextPDF/embedded/6A8EOT78XXH2IG52?source=fedsrch |