[HTML][HTML] A LSTM-based approach for modelling the movement uncertainty of indoor trajectories with mobile sensing data

Z Liu, W Shi, Y Yu, P Chen, BY Chen - International Journal of Applied …, 2022 - Elsevier
Individuals' indoor trajectories can be reconstructed with sensing data for indoor navigation.
However, the movement uncertainty of such reconstructed indoor trajectories has seldom …

Spatial data quality in the Internet of Things: Management, exploitation, and prospects

H Li, H Lu, CS Jensen, B Tang… - ACM Computing Surveys …, 2022 - dl.acm.org
With the continued deployment of the Internet of Things (IoT), increasing volumes of devices
are being deployed that emit massive spatially referenced data. Due in part to the dynamic …

Indoor map** and modeling by parsing floor plan images

Y Wu, J Shang, P Chen, S Zlatanova… - International Journal of …, 2021 - Taylor & Francis
ABSTRACT A large proportion of indoor spatial data is generated by parsing floor plans.
However, a mature and automatic solution for generating high-quality building elements (eg …

Towards crowd-aware indoor path planning (extended version)

T Liu, H Li, H Lu, MA Cheema, L Shou - ar**_malls_with_an_interpretable_transformer_network/links/652d532d6725c324010d19ec/DeepIndoorCrowd-Predicting-crowd-flow-in-indoor-shop**-malls-with-an-interpretable-transformer-network.pdf" data-clk="hl=en&sa=T&oi=gga&ct=gga&cd=8&d=15287010766527096447&ei=5_irZ_O3INaIieoP4pXqgQk" data-clk-atid="f2ZrUExfJtQJ" target="_blank">[PDF] researchgate.net

DeepIndoorCrowd: Predicting crowd flow in indoor shop** malls with an interpretable transformer network

C Chu, H Zhang, P Wang, F Lu - Transactions in GIS, 2023 - Wiley Online Library
Accurate and interpretable prediction of crowd flow would benefit business management
and public security. The existing studies are challenged to adapt to the indoor environment …

Indoor mobility data encoding with TSTM-in: A topological-semantic trajectory model

J Qin, L Wang, T Wu, Y Li, L **ang, Y Zhu - Computers, Environment and …, 2024 - Elsevier
The growing ubiquity of location/activity sensing technologies has created unprecedented
opportunities for research on human spatiotemporal interaction behavior in mobile …