title: GPS/MEMS INS data fusion and map matching in urban areas.
abstract: This paper presents an evaluation of the map-matching scheme of an integrated GPS/INS system in urban areas. Data fusion using a Kalman filter and map matching are effective approaches to improve the performance of navigation system applications based on GPS/MEMS IMUs. The study considers the curve-to-curve matching algorithm after Kalman filtering to correct mismatch and eliminate redundancy. By applying data fusion and map matching, the study easily accomplished mapping of a GPS/INS trajectory onto the road network. The results demonstrate the effectiveness of the algorithms in controlling the INS drift error and indicate the potential of low-cost MEMS IMUs in navigation applications.
authors: Department of Geomatics, National Cheng Kung University, Tainan 701, Taiwan. honejaychu@gmail.com
authors: Hone-Jay
authors: HJ
authors: Chu
authors: Guang-Je
authors: GJ
authors: Tsai
authors: Kai-Wei
authors: KW
authors: Chiang
authors: Thanh-Trung
authors: TT
authors: Duong
mesh_terms: D000465:Algorithms; D002947:Cities; D040362:Geographic Information Systems; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D016247:Information Storage and Retrieval / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D013382:Subtraction Technique
references: Sensors (Basel). 2008 Mar 29;8(4):2240-2261
references: 27879820