A COMPARATIVE ANALYSIS OF LOW COST LOCALIZATION METHODS FOR A MARIO KART GAME APPLICATION

TL;DRAbstract

In vehicle navigation systems, it is important to have accurate estimates of vehicle positioning. The process of determining positioning is called localization. There are two methods for localization, absolute positioning and relative positioning [1]. An absolute positioning system, such as Global Positioning System (GPS), determines the localization by using external distance and heading measures. Relative localization determines the position of an object based on its previously known location and through sensors that determine speed and heading. Examples of relative positioning sensors include wheel encoders, inertial sensors and accelerometers. The objective of this thesis is to analyze different methods to perform localization and navigation on low speed, low cost go-karts for Augmented Reality Mario Kart game application. Several different low cost localization methods (both absolute and relative positioning methods) were tested and compared in order to improve positioning informa

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