Joint Solution for the Online 3D Photorealistic Mapping Using SfM and SLAM

被引:5
作者
Choi, Hyunga [1 ]
Jun, ChangHyun [1 ]
Yuen, Shang Li [1 ]
Cho, HyunGi [1 ]
Doh, Nakju Lett [1 ]
机构
[1] Korea Univ, Sch Elect Engn, Seoul, South Korea
来源
INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS | 2013年 / 10卷
基金
新加坡国家研究基金会;
关键词
SLAM; SfM; Mapping; Photorealistic; 3; dimensional; Online mapping; SIMULTANEOUS LOCALIZATION;
D O I
10.5772/52854
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
This paper proposes a novel hybrid solution of SfM (Structure from Motion) and SLAM (Simultaneous Localization And Mapping) for the online generation of a 3D photorealistic map. As it is well known, the SfM can generate a 3D photo map, but it is difficult to get the real-scale as well as to build an online map (i.e., the map cannot be generated on the fly). In contrast, while SLAM frameworks are suitable for online real-scale mapping, they are not adequate for 3D photo map generation. To create a synergy effect, the proposed method combines SfM and SLAM. The way of combination is to use SfM for the generation of local maps and to utilize SLAM for a fusion of local maps in a globally consistent manner. Experimental results show that the proposed hybrid approach enables online 3D photorealistic mapping.
引用
收藏
页数:7
相关论文
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