Demo Data from SIGIR 2026 / reviewers in the wild / expert
Hyoung Jo Jeon
dblp:29/5929
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1995
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-authorSystems, architecture and hardware · 1 · 1 first-author
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.
| Artificial intelligence
1 paper |
Robot navigation and mapping · 100% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Robot navigation and mapping › acoustic sensing
ultrasonic sensing |
0.0 | 1 | 1995 | A Study on World Map Building for Mobile Robots with Tri-Aural Ultrasonic Sensor System · ICRA 1995 |
Methods — techniques the papers use, named apart from their topics
tri-aural ultrasonic sensor · 0.0simulation · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1995 | A Study on World Map Building for Mobile Robots with Tri-Aural Ultrasonic Sensor SystemabstractA new tri-aural ultrasonic sensor system is suggested to build more accurate world maps for mobile robots with less scanning. In ordinary single sensor systems, the inherent beam-width of sonar transmitter causes ambiguity in sensing direction. Dual sensors may be used to discriminate plane and corner with several scans. However, the proposed method uses triple sensors, and achieves more accuracy with less scanning. Simulation studies and experimental results reveal the performance of the proposed method. Hyoung Jo Jeon, Byung Kook Kim |
ICRA | 1 |