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Sebastian Hurtado

dblp:83/5044 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2004
—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 · 50% Legged, aerial and field robots · 50%

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

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots
aerial robots		 0.012004
Motion Compensation and Object Detection for Autonomous Helicopter Visual Navigation in the COMETS System · ICRA 2004
Robotics › Legged, aerial and field robots › aerial robots
autonomous helicopter		 0.012004
Motion Compensation and Object Detection for Autonomous Helicopter Visual Navigation in the COMETS System · ICRA 2004
Robotics › Robot navigation and mapping
mobile robot navigation		 0.012004
Motion Compensation and Object Detection for Autonomous Helicopter Visual Navigation in the COMETS System · ICRA 2004
Robotics › Robot navigation and mapping
visual navigation		 0.012004
Motion Compensation and Object Detection for Autonomous Helicopter Visual Navigation in the COMETS System · ICRA 2004

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

projective geometry · 0.0motion compensation · 0.0image-feature matching · 0.0
YearPublicationVenuePosition
2004 Motion Compensation and Object Detection for Autonomous Helicopter Visual Navigation in the COMETS System
abstract
This work presents real time computer vision techniques for autonomous navigation and operation of unmanned aerial vehicles. The proposed techniques are based on image feature matching and projective methods. Particularly, the paper presents the application to helicopter motion compensation and object detection. These techniques have been implemented in the framework of the COMETS multi-UAV systems. Furthermore, The work presents the application of the proposed techniques in a forest fire scenario in which the COMETS system can be demonstrated.
Aníbal Ollero, Joaquín Ferruz Melero, Fernando Caballero, Sebastian Hurtado, Luis Merino
 ICRA4