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R. Ron

dblp:02/98 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1999
—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 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot navigation and mapping › localization
landmark-based localization		 0.011999
Real Time Position Estimation for Mobile Robots by Means of Sonar Sensors · ICRA 1999
Robotics › Robot navigation and mapping
localization		 0.011999
Real Time Position Estimation for Mobile Robots by Means of Sonar Sensors · ICRA 1999
Robotics › Robot navigation and mapping › localization › range-based localization
sonar-based localization		 0.011999
Real Time Position Estimation for Mobile Robots by Means of Sonar Sensors · ICRA 1999

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

pyramidal structure · 0.0circular depth function · 0.0
YearPublicationVenuePosition
1999 Real Time Position Estimation for Mobile Robots by Means of Sonar Sensors
abstract
Presents a fast localisation algorithm for autonomous mobile agents in dynamic environments based on the definition of a very small sized landmark type. These landmarks are calculated by obtaining the coordinates of the circular depth function obtained from a ring of equally spaced sonar sensors projected on a bi-dimensional base of a vectorial space. Finally, a pyramidal structure is used to enhance and fasten the performance of the localisation algorithm.
Cristina Urdiales, Antonio Bandera, R. Ron, Francisco Sandoval 0001
 ICRA3