VLDB 2026 Research / reviewers in the wild / expert
Stefan Hinteregger
dblp:181/3934
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2017
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer networks
1 paper |
Wireless sensing and localization · 93% Wireless networking · 7% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Wireless sensing and localization
indoor localization |
0.3 | 1 | 2017 | UWB-based Single-anchor Low-cost Indoor Localization System · SenSys 2017 |
Wireless sensing and localization › localization algorithms
multipath-assisted localization |
0.3 | 1 | 2017 | UWB-based Single-anchor Low-cost Indoor Localization System · SenSys 2017 |
Wireless sensing and localization › indoor localization
single-anchor localization |
0.3 | 1 | 2017 | UWB-based Single-anchor Low-cost Indoor Localization System · SenSys 2017 |
Wireless sensing and localization › indoor localization
ultra-wideband localization |
0.3 | 1 | 2017 | UWB-based Single-anchor Low-cost Indoor Localization System · SenSys 2017 |
Wireless networking
directional antenna |
0.1 | 1 | 2017 | UWB-based Single-anchor Low-cost Indoor Localization System · SenSys 2017 |
Methods — techniques the papers use, named apart from their topics
two-way ranging · 0.3maximum likelihood estimation · 0.3channel impulse response · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | UWB-based Single-anchor Low-cost Indoor Localization SystemabstractIn this demo, we present a low-cost indoor localization system based on the off-the-shelf ultra-wideband transceiver Decawave DW1000. To obtain an accurate position information, the system makes use of a single anchor and of multipath reflections from walls, hence removing the need of installing a network of anchors or any other additional infrastructure. The procedure of determining the position of a tag can be divided in four consecutive stages. First, the location of virtual anchors is computed by mirroring the anchor position at reflective surfaces. Using two-way ranging, the distance and channel impulse response (CIR) between anchor and tag is obtained. This actual CIR is compared with expected CIRs from possible tag locations using a maximum likelihood approach to estimate the tag's position. Finally, a switchable directional antenna can be exploited to improve the robustness of the system by suppressing undesired, interfering multipath components. By following this procedure, the proposed system can achieve a decimeter accuracy and react to position updates in real-time. Bernhard Großwindhager, Michael Rath 0001, Josef Kulmer, Stefan Hinteregger, Mustafa S. Bakr, Carlo Alberto Boano, Klaus Witrisal, Kay Römer |
SenSys | 4 |