Integrating Google Maps and Smooth Street View Videos for Route Planning

Area of Science:

• Computer Science
• Geographic Information Systems
• Multimedia Technology

Background:

• Traditional reliance on printed maps for navigation persists.
• Existing digital navigation services like Google Street View have limitations in route analysis and understanding.
• Current client-based applications lack systematic route analysis and sufficient street view imagery.

Purpose of the Study:

• To develop an innovative automatic system for generating road route videos.
• To address the limitations of existing digital navigation solutions.
• To provide users with an immersive understanding of requested routes.

Main Methods:

• A cloud-based client-server architecture was developed.
• The system comprises three core modules: frames acquisition, frames analysis and elaboration, and metadata/video persistence.
• The system generates videos depicting road routes between two geographic locations.

Main Results:

• Tests in real-world and synthetic scenarios demonstrated the system's efficiency.
• The system successfully generates videos for road routes.
• Promising results indicate the system's effectiveness in providing an immersive route experience.

Conclusions:

• The developed system fills a crucial gap in existing navigation solutions.
• The approach offers a comprehensive and user-friendly system for route planning.
• This research advances route planning technologies through cloud computing and multimedia visualization.