Title : 
Map Matching Algorithm According to Pseudo-Zernike Moments
         
        
            Author : 
Cao, Wen ; Zhao, Jing ; Meng, Wei-can ; Li, Run-sheng
         
        
            Author_Institution : 
Inst. of Surveying & Mapping, Inf. Eng. Univ., Zhengzhou, China
         
        
        
        
        
        
        
            Abstract : 
Efficient and reliable map-matching algorithms were essential for vehicle navigation systems. Most existing solutions can´t provide trustworthy outputs when the situation was ambiguous (such as at road intersections). Put forward to map matching according to pseudo-Zernike moments. The new Algorithm leads, pseudo-Zernike moments to describe track curve into pseudo-Zernike moments on this foundation of shape, revised a mistake result further. Pass to imitate true and on trial express, the new calculate way has stronger usefulness and credibility under the complicated environment.
         
        
            Keywords : 
Zernike polynomials; cartography; navigation; pattern matching; vehicles; map matching algorithm; pseudo-Zernike moment; vehicle navigation system; Accuracy; History; Partitioning algorithms; Roads; Shape; Vehicles; Evidence theory; Map Matching; The shape describes gene; pseudo-Zernike moments;
         
        
        
        
            Conference_Titel : 
Software Engineering (WCSE), 2010 Second World Congress on
         
        
            Conference_Location : 
Wuhan
         
        
            Print_ISBN : 
978-1-4244-9287-9
         
        
        
            DOI : 
10.1109/WCSE.2010.80