TY - GEN
T1 - The emergence of visual-based localization and navigation using smartphone sensing
AU - Ren, Siyuan
AU - Guo, Bin
AU - Wu, Jian
AU - Wang, Qianru
AU - Yu, Zhiwen
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2018/6/26
Y1 - 2018/6/26
N2 - The research on localization and navigation has a long history. Traditional location-based services do not work well for indoor environments. The reason is that, compared with outdoors, indoor environments are more complicated and GPS signals are not available. Furthermore, existing indoor localization systems either need to deploy extra devices or are not accurate/reliable. In this paper, we present an emerging research area of mobile crowdsensing-visual-based localization and navigation (VBLN). It makes use of citizen's smartphone cameras and other internal sensors to attain indoor localization and navigation, which proves effective and of low deployment cost. We describe and discuss the generic architecture, its characters, typical applications/systems, key challenges/techniques, as well as the open issues of VBLN.
AB - The research on localization and navigation has a long history. Traditional location-based services do not work well for indoor environments. The reason is that, compared with outdoors, indoor environments are more complicated and GPS signals are not available. Furthermore, existing indoor localization systems either need to deploy extra devices or are not accurate/reliable. In this paper, we present an emerging research area of mobile crowdsensing-visual-based localization and navigation (VBLN). It makes use of citizen's smartphone cameras and other internal sensors to attain indoor localization and navigation, which proves effective and of low deployment cost. We describe and discuss the generic architecture, its characters, typical applications/systems, key challenges/techniques, as well as the open issues of VBLN.
KW - image processing
KW - indoor localization and navigation
KW - mobile crowdsensing
KW - visual sensing
UR - http://www.scopus.com/inward/record.url?scp=85050241665&partnerID=8YFLogxK
U2 - 10.1109/UIC-ATC.2017.8397508
DO - 10.1109/UIC-ATC.2017.8397508
M3 - 会议稿件
AN - SCOPUS:85050241665
T3 - 2017 IEEE SmartWorld Ubiquitous Intelligence and Computing, Advanced and Trusted Computed, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017 - Conference Proceedings
SP - 1
EP - 8
BT - 2017 IEEE SmartWorld Ubiquitous Intelligence and Computing, Advanced and Trusted Computed, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017 - Conference Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE SmartWorld Ubiquitous Intelligence and Computing, Advanced and Trusted Computed, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017
Y2 - 4 April 2017 through 8 April 2017
ER -