PC-based real-time vehicle tracking using GPS-aided inertial navigation system
Date of Publication
2008
Document Type
Bachelor's Thesis
Degree Name
Bachelor of Science in Electronics and Communications Engineering
Subject Categories
Engineering
College
Gokongwei College of Engineering
Department/Unit
Electronics and Communications Engineering
Thesis Adviser
Cesar A. Llorente
Defense Panel Chair
Antonio S. Gonzales, Jr.
Defense Panel Member
Jose Antonio M. Catalan
Analene M. Nagayo
Abstract/Summary
Determining one's navigational position and path is important for motorists. It prevents inexperienced drivers from getting lost and helps in significantly reducing travel time which in turn would lessen fuel consumption. To compensate for these problems, onboard navigation systems must be developed. This research would aid users in easily identifying their real-time location through the use of a digital map. More specifically, an integration of a Global Positioning System (GPS) and an Inertial Measurement Unit (IMU) will be performed for vehicle tracking and navigation purposes. The use of these said systems provides a higher accuracy rather than GPS or IMU alone. Several physics equations and basic ratio and proportion concepts will be utilized in this project for computing position using the data gathered from the sensors. Since IMU's accuracy will decrease for long periods of time, the GPS will aid in the correction of data. After such data processing, the traversed path on a digital map and the vehicle state information will be displayed in a Graphical user Interface (GUI).
Abstract Format
html
Language
English
Format
Accession Number
TU14390
Shelf Location
Archives, The Learning Commons, 12F, Henry Sy Sr. Hall
Physical Description
132 leaves : ill. (some col.) ; 28 cm.
Keywords
Inertial navigation systems; Electronic systems; Real-time programming; GPS (Computer program); Global Positioning System; Electronic data processing
Recommended Citation
Boquiren, E. N., Lupena, F. M., Mangunay, J. C., & Panganiban, M. M. (2008). PC-based real-time vehicle tracking using GPS-aided inertial navigation system. Retrieved from https://animorepository.dlsu.edu.ph/etd_bachelors/14382
