Title : 
3D laser omnimapping for 3D reconstruction of large-scale scenes
         
        
            Author : 
Hu, Shaoxing ; Zhang, Aiwu
         
        
            Author_Institution : 
Sch. of Mech. Eng.&Autom., Beijing Univ. of Aeronaut. & Astronaut., Beijing
         
        
        
        
        
        
            Abstract : 
There are many needs for the ability to fast acquiring 3D data from environmental surroundings, but the technology for acquiring dense, wide ranging, accurate 3D data is too expensive to be used widely. A low-cost, 360deg continuous scanning, 3D laser scanner (AESINGCH MStar 8000) is presented. The data quality of AESINGCH MStar 8000 was analyzed in detail, and the algorithms of 3D feature extraction and range scan registration were given. The experimental results show that AESINGCH MStar 8000 has the higher measuring accuracy and better data quality. Its max range of the scanner is 80 m, and its accuracy can achieved 6 mm. it can measure black objects, its weight is only 8 kg.
         
        
            Keywords : 
feature extraction; geophysical signal processing; image reconstruction; image registration; optical scanners; remote sensing by laser beam; 360deg continuous scanning; 3D feature extraction; 3D laser omnimapping; 3D laser scanner; 3D reconstruction; AESINGCH MStar 8000; dense wide ranging 3D data; large-scale scenes; range scan registration; Extraterrestrial measurements; Face detection; Large-scale systems; Laser modes; Layout; Mobile robots; Navigation; Remote sensing; Service robots; Testing;
         
        
        
        
            Conference_Titel : 
Urban Remote Sensing Event, 2009 Joint
         
        
            Conference_Location : 
Shanghai
         
        
            Print_ISBN : 
978-1-4244-3460-2
         
        
            Electronic_ISBN : 
978-1-4244-3461-9
         
        
        
            DOI : 
10.1109/URS.2009.5137584