Improving accuracy of GPS signals for use in land surveying application

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Location based services applications are very common in our lives today. Services such as uber rely on them to deliver their core products. If a service does not require a very strict accuracy level, it is generally considered enough to use google maps with little or no improvement at all. However, to apply this in finding accurate locations under a meter, we need to do some improvement on the GPS data we receive to be able to pinpoint the location as needed. This project examines the deficiencies of google maps and come up with algorithm that combines various sensors in mobile devices to stabilise and improve the accuracy of the coordinates received. These include the accelerometer, gyroscope, and compass. The combination allows us to make an independent computation of direction and distance to decide if the location provided by location services is accurate. We develop a mobile application to try out the algorithm against traditional google maps. The algorithm was able to provide great consistence where google maps locations were fluctuating. It also able to trace a path straighter than google maps could
Capstone Project submitted to the Department of Engineering, Ashesi University in partial fulfillment of the requirements for the award of Bachelor of Science degree in Computer Engineering, May 2020
location, Global Positioning System (GPS), location-based services applications, Google maps, mobile application