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Suat Arslan

dblp:73/1862 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2000
—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 · 87% Legged, aerial and field robots · 13%

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

TopicWeightPapersLastEvidence papers
Robotics › Robot navigation and mapping › sensor fusion
GPS/IMU fusion		 0.012000
An Inertial Navigation System for Small Autonomous Underwater Vehicles · ICRA 2000
Robotics › Robot navigation and mapping › localization
inertial navigation		 0.012000
An Inertial Navigation System for Small Autonomous Underwater Vehicles · ICRA 2000
Robotics › Legged, aerial and field robots › underwater robotics
autonomous underwater vehicle		 0.012000
An Inertial Navigation System for Small Autonomous Underwater Vehicles · ICRA 2000

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

kalman filter · 0.0compass calibration · 0.0
YearPublicationVenuePosition
2000 An Inertial Navigation System for Small Autonomous Underwater Vehicles
abstract
A small AUV navigation system (SANS) has been developed at the Naval Postgraduate School. The SANS is an integrated GPS/INS navigation system composed of low-cost, small-size components. It is designed to demonstrate the feasibility of using a low-cost inertial measurement unit to navigate between intermittent GPS fixes. This paper reports recent improvements to the SANS hardware, latest testing results after compensating heading-dependent derivations in the TCM-2 compass measurements, and development of an asynchronous Kalman filter for improved position estimation.
Xiaoping Yun, Eric R. Bachmann, Suat Arslan
 ICRA3