Massimi Federica, Tedeschi Antonio, Bagadi Kalapraveen, Benedetto Francesco
Signal Processing for Telecommunications and Economics Lab., University of Roma Tre, Via Silvio d'Amico 77, 00145 Rome, Italy.
School of Electronics Engineering (SENSE), VIT-AP University, Amaravati 522 241, Andhra Pradesh, India.
J Imaging. 2025 Jul 25;11(8):251. doi: 10.3390/jimaging11080251.
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.
本研究解决了长期以来导航对纸质地图的依赖问题，并突出了谷歌街景和谷歌街景播放器等现有数字服务在提供路线分析和理解的全面解决方案方面的局限性。当前主要基于客户端的应用程序尚未解决路线分析缺乏系统方法、街景图像不足相关问题以及所需道路的图像映射不当等问题。作为回应，我们提出了一种创新的自动系统，旨在生成描绘两个地理位置之间道路路线的视频。该系统以传统方式计算并呈现路线，在二维表示上强调路径，并以多媒体格式呈现。基于基于云的客户端 - 服务器架构开发了一个原型，它具有三个核心模块：帧采集、帧分析与处理以及元数据信息和计算视频的持久化。涵盖真实场景和合成场景的测试取得了令人鼓舞的结果，展示了我们系统的效率。通过为用户提供对所需路线的真实且身临其境的理解，我们的方法填补了现有导航解决方案中的关键空白。这项研究有助于路线规划技术的进步，提供了一个全面且用户友好的系统，该系统利用云计算和多媒体可视化来增强导航体验。
