Urban Navigation with Multi-sensor and Map Matching
Global Navigation Satellite Systems (GNSS) has become one of the major positioning technologies for navigation and location based service. However, most of the current successful applications are limited to the environments with an open sky. For degraded signal environments, such as urban canyons and indoors, high sensitivity GNSS receiver, barometers, digital compass, MEMS (Micro-Electro-Mechanical Systems) inertial sensors and map matching are applied in order to provide the end users with reliable positions. The study will focus on sensor integration and positioning algorithms for integrating different data sets from different sensors.