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Daniel Viegas

dblp:75/11058 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2012
0000-0001-5847-3095ORCID · reported

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 · 75% Motion planning and robot control · 25%

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

TopicWeightPapersLastEvidence papers
Robotics › Robot navigation and mapping
localization
0.112012
Position and velocity filters for intervention AUVs based on single range and depth measurements · ICRA 2012
Robotics › Robot navigation and mapping
multi-robot navigation
0.112012
Position and velocity filters for intervention AUVs based on single range and depth measurements · ICRA 2012
Robotics › Motion planning and robot control
observer design
0.112012
Position and velocity filters for intervention AUVs based on single range and depth measurements · ICRA 2012
Robotics › Robot navigation and mapping
state estimation
0.112012
Position and velocity filters for intervention AUVs based on single range and depth measurements · ICRA 2012

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

state observer · 0.1range measurements · 0.1observability analysis · 0.1
YearPublicationVenuePosition
2012 Position and velocity filters for intervention AUVs based on single range and depth measurements
abstract
This paper proposes novel cooperative navigation solutions for an Intervention Autonomous Underwater Vehicle (I-AUV) working in tandem with an Autonomous Surface Craft (ASC). The I-AUV is assumed to be moving in the presence of constant unknown ocean currents, and aims to estimate its position relying on measurements of its range to the ASC and of its depth relatively to the sea level. Two different scenarios are considered: in one, the ASC transmits its position and velocity to the I-AUV, while in the other the ASC transmits only its position, and the I-AUV has access to measurements of its velocity relative to the ASC. A sufficient condition for observability and a method for designing state observers with Globally Asymptotically Stable (GAS) error dynamics are presented for both problems. Finally, simulation results are included and discussed to assess the performance of the proposed solutions in the presence of measurement noise.
Daniel Viegas, Pedro Tiago Martins Batista, Paulo Oliveira 0001, Carlos Silvestre
ICRA1