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Sunyong Kim

dblp:170/2517 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2015
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 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.

Computer networks
1 paper
Wireless sensing and localization · 87% Vehicular, aerial and satellite networks · 13%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Wireless sensing and localization › aerial localization
drone localization
0.212015
Poster: Drone Can Find Lost Smartphones · SenSys 2015
Wireless sensing and localization › source localization
radio source localization
0.212015
Poster: Drone Can Find Lost Smartphones · SenSys 2015
Vehicular, aerial and satellite networks
aerial networks
0.112015
Poster: Drone Can Find Lost Smartphones · SenSys 2015

Methods — techniques the papers use, named apart from their topics

geometric dilution of precision · 0.2dynamic trajectory planning · 0.2
YearPublicationVenuePosition
2015 Poster: Drone Can Find Lost Smartphones
abstract
In this paper, we propose a single-drone-based localization for radio frequency (RF) sources in an outdoor environment. For fast and accurate localization, we propose a dynamic trajectory planning scheme, which guides the RF scanning drone toward a direction minimizing the geometric dilution of precision (GDOP) in order to minimize the uncertainty of location estimation for target RF sources.
Sunyong Kim, Ryangsoo Kim, Hyuk Lim
SenSys1