A novel approach to navigation and mapping by leveraging the widespread availability of smartphones equipped with various sensors. The proposed system utilizes data from the Accelerometer, Gyroscope, Magnetometer, and GPS in smartphones to generate detailed maps of routes and infrastructures. By crowdsourcing this sensor data from travellers, the system creates a comprehensive topological map that can be shared with others. This approach is particularly advantageous for mapping less recognized or remote areas where traditional mapping resources are scarce. The platform is designed to be energy-efficient and accessible to users with low-resource devices, ensuring widespread usability.
Figure: The system architecture of proposed application.
The solution stands out for its ability to operate both online and offline, offering flexibility in different environments. It allows users to create and follow maps without incurring additional costs, making it a valuable tool for travellers. The cloud-based system also supports the creation of surface maps in urban and rural settings, enhancing navigation accuracy in diverse conditions. Overall, this paper demonstrates how crowdsourcing and smartphone technology can be harnessed to develop a scalable, community-driven mapping platform that meets the needs of a broad user base, particularly in areas where traditional mapping methods are not feasible.
Md. Rabiul Ali Sarker
Md Hassanuzzaman
Purnendu Biswas,
Saikot Hossain Dadon,
Tasmina Imam
Research Supervisor: Dr. Tanzilur Rahman
Paper Link: https://doi.org/10.3390/s21216969
Project Link: https://github.com/sarkerrabi/Travel-Assistant