Demo Data from EDBT 2026 / reviewers in the wild / expert
Hamin Lim
dblp:331/1866
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1 · 1 since 2021
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 · 100% | |
| Computer graphics and multimedia
1 paper |
Virtual and augmented reality · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Wireless sensing and localization › RF-based localization
BLE localization |
0.6 | 1 | 2022 | Which uber is mine?: identifying target in crowd of objects with RF analysis and AR visual tags · MobiCom 2022 |
Wireless sensing and localization › radar signal processing
target identification |
0.6 | 1 | 2022 | Which uber is mine?: identifying target in crowd of objects with RF analysis and AR visual tags · MobiCom 2022 |
Methods — techniques the papers use, named apart from their topics
BLE beacon · 1.1AR tag · 1.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Which uber is mine?: identifying target in crowd of objects with RF analysis and AR visual tagsabstractThis paper presents ABC, the AR(augmented reality), and BLE combined target detector in a crowd of objects. The AR design of BLE analysis is a ready-to-use option for the ever-growing app-based ride market. The carefully designed AR tags and BLE beacons effectively collaborate to identify the target car. Such that a passenger can pinpoint the ride from a far distance. ABC consistently identify the target in a realistic environment through evaluations. Junghun Park, Hamin Lim, Jihoon Ryoo |
MobiCom | 2 |