Vita: A Versatile Toolkit for Generating Indoor Mobility Data for Real-World Buildings
Summary: Vita is a configurable three-layer pipeline that converts standard building-information files into realistic indoor mobility data. It jointly synthesizes device signals, trajectories/movement patterns, raw RSSI, and outputs from diverse positioning methods for real buildings. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
BibTeX Citation
@article{li_vldb16,
title = {{Vita: A Versatile Toolkit for Generating Indoor Mobility Data for Real-World Buildings}},
author = {Li, Huan and Lu, Hua and Chen, Xin and Chen, Gang and Chen, Ke and Shou, Lidan},
journal = {PVLDB},
series = {{VLDB} '16},
volume = {9},
number = {13},
pages = {1453--1456},
doi = {10.14778/3007263.3007282},
url = {https://doi.org/10.14778/3007263.3007282},
year = {2016}
}Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,514 | TRIPS: A System for Translating Raw Indoor Positioning Data into Visual Mobility Semantics | 2018 | VLDB | 5.6029996e-05 |
| 11,568 | Continuous Social Distance Monitoring in Indoor Space | 2022 | VLDB | 5.093636e-05 |
| 11,717 | EPICGen: An Experimental Platform for Indoor Congestion Generation and Forecasting | 2021 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 0 of 0 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|
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