An Efficient Surface Map Creation and Tracking Using Smartphone Sensors and Crowdsourcing

Area of Science:

• Mobile Computing
• Geographic Information Systems
• Crowdsourcing

Background:

• Smart navigation is crucial for modern travel, facing challenges in both urban and natural environments.
• Advancements in smartphone sensors and processing power enable sophisticated mobile navigation solutions.

Purpose of the Study:

• To propose a cloud-based intelligent traveler assistant for creating and sharing navigation maps.
• To leverage user-generated data from smartphone sensors for mapping unknown or unreached areas.

Main Methods:

• Utilizing smartphone sensors (Accelerometer, Gyroscope, Magnetometer, GPS) to collect position and elevation data.
• Developing a cloud platform to process collected data into topological information.
• Implementing a mobile application for users to create, share, and access maps online and offline.

Main Results:

• The system enables the creation of detailed maps for routes, infrastructure, and natural environments using crowdsourced data.
• The cloud-based solution is free, accessible offline, and consumes minimal battery power.
• The platform supports mapping of previously unknown or unreached areas.

Conclusions:

• The proposed crowdsourcing method offers a unique and valuable approach to mapping the unknown.
• This intelligent traveler assistant provides significant support for diverse navigation needs.
• The system is efficient, low-cost, and adaptable to low-configured resources.