J
Jingbin Liu
Researcher at Wuhan University
Publications - 114
Citations - 3827
Jingbin Liu is an academic researcher from Wuhan University. The author has contributed to research in topics: GNSS applications & Point cloud. The author has an hindex of 26, co-authored 109 publications receiving 3090 citations. Previous affiliations of Jingbin Liu include SiRF Technology Holdings, Inc. & Academy of Finland.
Papers
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Journal ArticleDOI
Resolution of GPS carrier-phase ambiguities in Precise Point Positioning (PPP) with daily observations
TL;DR: It is shown that UPDs are rather stable in time and space, and can be estimated with high accuracy and reliability through a statistical analysis of the ambiguities estimated from a reference network.
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A Hybrid Smartphone Indoor Positioning Solution for Mobile LBS
TL;DR: The experimental results showed that HIPE can provide adequate positioning accuracy and robustness for different scenarios of MDI combinations, and the reliability of the positioning solution was found to increase with increasing precision of the MDI data.
Journal ArticleDOI
Is field-measured tree height as reliable as believed – A comparison study of tree height estimates from field measurement, airborne laser scanning and terrestrial laser scanning in a boreal forest
Yunsheng Wang,Yunsheng Wang,Matti Lehtomäki,Matti Lehtomäki,Xinlian Liang,Xinlian Liang,Jiri Pyörälä,Jiri Pyörälä,Jiri Pyörälä,Antero Kukko,Antero Kukko,Antero Kukko,Anttoni Jaakkola,Anttoni Jaakkola,Jingbin Liu,Jingbin Liu,Jingbin Liu,Ziyi Feng,Ziyi Feng,Ruizhi Chen,Juha Hyyppä,Juha Hyyppä +21 more
TL;DR: In this paper, the reliability and robustness of tree height observations obtained via a conventional field inventory, airborne laser scanning (ALS) and terrestrial laser scanner (TLS) were investigated.
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Human Behavior Cognition Using Smartphone Sensors
Ling Pei,Robert Guinness,Ruizhi Chen,Jingbin Liu,Heidi Kuusniemi,Yuwei Chen,Liang Chen,Jyrki Kaistinen +7 more
TL;DR: Preliminary tests indicate that the LoMoCo (Location-Motion-Context) model, which combines the latest positioning technologies and phone sensors to capture human movements in natural environments and use the movements to study human behavior, has successfully achieved the Activity-Level Descriptors level.
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Ambiguity resolution in precise point positioning with hourly data
TL;DR: This study uses the EUREF (European Reference Frame) Permanent Network (EPN) to determine the UHD from Day 245 to 251 in 2007 and demonstrates that ambiguity resolution at a single station can significantly improve the positioning accuracy in hourly PPP.