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Seung Do Kim

dblp:126/5013 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1996
—ORCID · none

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

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 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.

Artificial intelligence
1 paper
Robot navigation and mapping · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot navigation and mapping › mobile robot navigation › sensor-based navigation
sonar-based navigation
0.011996
A method of indoor mobile robot navigation using acoustic landmarks · ICRA 1996
Robotics › Robot navigation and mapping › mobile robot navigation › indoor navigation
indoor mobile robot navigation
0.011996
A method of indoor mobile robot navigation using acoustic landmarks · ICRA 1996

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

sonar sensing · 0.0pattern matching · 0.0
YearPublicationVenuePosition
1996 A method of indoor mobile robot navigation using acoustic landmarks
abstract
In this paper, a mobile robot is assumed to be equipped with a sonar and is capable of locating the acoustic reflectors. The acoustic landmarks are chosen from the acoustic reflectors whose positions are independent of the mobile robot position. By matching the two dimensional patterns of the acoustic landmarks and the acoustic reflectors that are newly recognized, the current mobile robot position is determined. A path is constructed by adding up the acoustic landmarks along which a mobile robot can navigate without error accumulation. Experiments were performed to verify the proposed method.
Joong Hyup Ko, Seung Do Kim, Myung Jin Chung
ICRA2