Global Positioning System Projects for ME, MTech, Masters, MS abroad, and PhD students. These Global Positioning System ieee projects are implemented with future work and extension for final year students with research paper writing and publishing. These research projects guide final year students to learn, practice, and complete their academic submissions successfully. Each project includes complete source code, project report, PPT, a tutorial, documentation, and a research paper.
Latest Global Positioning System Projects
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CM-SLASM A Cooperative Multitechnology Simultaneous Localization and Signal Mapping for Vehicles Indoor Positioning
This project develops a system that helps vehicles find their positions accurately inside buildings. It uses WiFi, UWB, and LIDAR signals together and shares information between vehicles. The system updates a map of signal strengths in real time. Tests in simulations and a lab show it works well. -
Dynamic Topology Organization and Maintenance Algorithms for Autonomous UAV Swarms
This project focuses on making groups of drones work together even when GPS or location data is missing. The team developed methods for drones to organize themselves, join, or split from a group automatically. Their approach keeps the drones connected and communicating in challenging places like forests or indoors. Tests show the system works reliably and quickly in realistic conditions. -
Sensing and Communication in UAV Cellular Networks Design and Optimization
This project studies how drones can collect and send data in cellular networks efficiently. It focuses on planning the drone’s path, controlling its power, and scheduling its sensing tasks. The goal is to gather all necessary data while reducing interference and saving energy. The proposed method significantly lowers the drone’s energy use compared to other approaches. -
A Smart Clothing Approach for Augmenting Mobility of Visually Impaired People
This project develops a smart wearable jacket to help visually impaired people move safely and easily. It uses sensors, a camera, and GPS to detect obstacles and guide users along safe paths. The system also helps users know their current location and plan routes to destinations. Tests showed that most users found it helpful and easier to use than a white cane.
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