Accurate Location Algorithms in Vehicle Navigation System
Teng Shou-wei · Geomatics world (Lemmer) · 2010
An integration solution for location accurately in vehicle navigation system is approached, which includes the united Kalman filter and the map matching algorithms. On the one hand, the filter with a simple separate structure is constructed to fuse the spacial data of Global Positioning System (GPS) and Dead Reckoning (DR), which not only decreases the algorithmic complexity more greatly relative to the standard Kalmn filter, but also improves the location precision and algorithmic stability by avoiding the divergence among children filters. On the other hand, an weighted average algorithm based on the topological analysis of the road network, utilizing vehicle heading and position information, is developed for map matching, which can produce the accurate position on the electronic map efficiently, particularly in difficult operational environments such as junctions and intersections. Furthermore, series of methods are added to map matching under the diversified position conditions and the different traffic environments. The results of simulation confirm the solution is usable and effective for location in vehicle navigation system.