R2-D2: a System to Support Probabilistic Path Prediction in Dynamic Environments via “Semi-Lazy” Learning
Summary: R2-D2 enables probabilistic path prediction in dynamic environments through “semi-lazy” learning: dynamically selecting relevant historical trajectories and constructing models on demand, rather than relying on eager, fixed patterns. An interactive demonstrator visualizes predictions and parameter effects across real datasets. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Jingbo Zhou (National University of Singapore)
- 2. Anthony K. H. Tung (National University of Singapore)
- 3. Wei Wu (Agency for Science, Technology and Research; Institute for Infocomm Research)
- 4. Wee Siong Ng (Agency for Science, Technology and Research; Institute for Infocomm Research)
BibTeX Citation
@article{zhou_vldb13,
title = {{R2-D2: a System to Support Probabilistic Path Prediction in Dynamic Environments via “Semi-Lazy” Learning}},
author = {Zhou, Jingbo and Tung, Anthony K. H. and Wu, Wei and Ng, Wee Siong},
journal = {PVLDB},
series = {{VLDB} '13},
volume = {6},
number = {12},
pages = {1366--1369},
doi = {10.14778/2536274.2536317},
url = {https://doi.org/10.14778/2536274.2536317},
year = {2013}
}Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 12,173 | SMiLer: A Semi-Lazy Time Series Prediction System for Sensors | 2015 | SIGMOD | 5.0723324e-05 |
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Showing 1 of 1 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,410 | Prediction and Indexing of Moving Objects with Unknown Motion Patterns | 2004 | SIGMOD | 7.4191129e-05 |
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