TY - JOUR
T1 - Visual SLAM algorithms
T2 - A survey from 2010 to 2016
AU - Taketomi, Takafumi
AU - Uchiyama, Hideaki
AU - Ikeda, Sei
N1 - Publisher Copyright:
© The Author(s).
PY - 2017
Y1 - 2017
N2 - SLAM is an abbreviation for simultaneous localization and mapping, which is a technique for estimating sensor motion and reconstructing structure in an unknown environment. Especially, Simultaneous Localization and Mapping (SLAM) using cameras is referred to as visual SLAM (vSLAM) because it is based on visual information only. vSLAM can be used as a fundamental technology for various types of applications and has been discussed in the field of computer vision, augmented reality, and robotics in the literature. This paper aims to categorize and summarize recent vSLAM algorithms proposed in different research communities from both technical and historical points of views. Especially, we focus on vSLAM algorithms proposed mainly from 2010 to 2016 because major advance occurred in that period. The technical categories are summarized as follows: feature-based, direct, and RGB-D camera-based approaches.
AB - SLAM is an abbreviation for simultaneous localization and mapping, which is a technique for estimating sensor motion and reconstructing structure in an unknown environment. Especially, Simultaneous Localization and Mapping (SLAM) using cameras is referred to as visual SLAM (vSLAM) because it is based on visual information only. vSLAM can be used as a fundamental technology for various types of applications and has been discussed in the field of computer vision, augmented reality, and robotics in the literature. This paper aims to categorize and summarize recent vSLAM algorithms proposed in different research communities from both technical and historical points of views. Especially, we focus on vSLAM algorithms proposed mainly from 2010 to 2016 because major advance occurred in that period. The technical categories are summarized as follows: feature-based, direct, and RGB-D camera-based approaches.
UR - http://www.scopus.com/inward/record.url?scp=85071645012&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85071645012&partnerID=8YFLogxK
U2 - 10.1186/s41074-017-0027-2
DO - 10.1186/s41074-017-0027-2
M3 - Review article
AN - SCOPUS:85071645012
VL - 9
JO - IPSJ Transactions on Computer Vision and Applications
JF - IPSJ Transactions on Computer Vision and Applications
SN - 1882-6695
M1 - 16
ER -