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Ldyla Cahut

dblp:52/6550 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1998
—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 · 88% Motion planning and robot control · 12%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot navigation and mapping
environment mapping
0.011998
Sonar Resolution-Based Environment Mapping · ICRA 1998
Robotics › Robot navigation and mapping › robot mapping › range-based mapping
sonar-based mapping
0.011998
Sonar Resolution-Based Environment Mapping · ICRA 1998
Robotics › Robot navigation and mapping › obstacle avoidance
collision-free navigation
0.011998
Sonar Resolution-Based Environment Mapping · ICRA 1998
Robotics › Motion planning and robot control
motion planning
0.011998
Sonar Resolution-Based Environment Mapping · ICRA 1998

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

sonar range sensing · 0.0map matching and update · 0.0
YearPublicationVenuePosition
1998 Sonar Resolution-Based Environment Mapping
abstract
Ultrasonic range sensors are used to obtain the information required for collision-free navigation of a mobile robot in a semi-structured or unstructured environment. A set of range readings from a ring of sonars are correlated to acquire a 2D map of the robot's environment. The map is continuously enhanced via novel matching and update algorithms as new data are collected while the robot is in motion. The algorithm utilizes confidence measures that are directly obtained from the sonar's resolution or accuracy. There are no additional modeling assumptions and the approach is robust. The algorithms are experimentally tested on the Nomad 200 mobile robot and Nomad's Cognos Software Development Package.
Ldyla Cahut, Kimon P. Valavanis, Hakan Deliç
ICRA1