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TRIPS: A System for Translating Raw Indoor Positioning Data into Visual Mobility Semantics

Summary: TRIPS translates raw indoor positioning data into mobility semantics via a configurable end-to-end pipeline. It unifies multi-source inputs, cleans data, and exports semantics with traceable intermediate data and a flexible viewer for expert inspection. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11674
Venue
VLDB
Year
2018
Pagerank
4.8925595e-05
Overall Rank
6,911 | 51.93%
DOI
10.14778/3229863.3236224

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
11,497 Towards Crowd-aware Indoor Path Planning 2021 VLDB 4.1945683e-05
11,606 IMO: A Toolbox for Simulating and Querying "Infected" Moving Objects 2020 VLDB 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 2 of 2 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
3,456 STMaker - A System to Make Sense of Trajectory Data 2014 VLDB 7.075962e-05
4,295 Vita: A Versatile Toolkit for Generating Indoor Mobility Data for Real-World Buildings 2016 VLDB 6.2885419e-05
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