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Paul Chavent

dblp:135/8101 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2013
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2Systems, architecture and hardware · 2

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
Legged, aerial and field robots · 67% 3D vision · 33%
Human-computer interaction and pervasive computing
1 paper
Wearable and physiological sensing · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots
aerial robots
0.212013
Low-speed optic-flow sensor onboard an unmanned helicopter flying outside over fields · ICRA 2013
Robotics › Legged, aerial and field robots › aerial robots
autonomous helicopter
0.212013
Low-speed optic-flow sensor onboard an unmanned helicopter flying outside over fields · ICRA 2013
Computer vision › 3D vision › motion estimation
optical flow
0.212013
Low-speed optic-flow sensor onboard an unmanned helicopter flying outside over fields · ICRA 2013

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

spatial and temporal filtering · 0.3optic flow processing · 0.3
YearPublicationVenuePosition
2013 Low-speed optic-flow sensor onboard an unmanned helicopter flying outside over fields
abstract
The 6-pixel low-speed Visual Motion Sensor (VMS) inspired by insects' visual systems presented here performs local 1-D angular speed measurements ranging from 1.5°/s to 25°/s and weighs only 2.8 g. The entire optic flow processing system, including the spatial and temporal filtering stages, has been updated with respect to the original design. This new lightweight sensor was tested under free-flying outdoor conditions over various fields onboard a 80 kg unmanned helicopter called ReSSAC. The visual disturbances encountered included helicopter vibrations, uncontrolled illuminance, trees, roads, and houses. The optic flow measurements obtained were finely analyzed online and also offline, using the sensors of various kinds mounted onboard ReSSAC. The results show that the optic flow measured despite the complex disturbances encountered closely matched the approximate ground-truth optic flow.
Guillaume Sabiron, Paul Chavent, Thibaut Raharijaona, Patrick Fabiani, Franck Ruffier
ICRA2
2013 Fully-autonomous coordinated flight of multiple UAVs using decentralized virtual leader approach
abstract
This paper presents experimental results of fully-autonomous coordinated flight of multiple UAVs. The coordination control law is designed based on the decentralized virtual leader approach, and its stability is theoretically proven. A mission scenario is defined by a sequence of four different coordination phases, to every of which the same controller is applied with different configuration settings. The proposed law has been implemented and demonstrated onboard the ONERA fixed-wing UAV platforms.
Yoko Watanabe, Alexandre Amiez, Paul Chavent
IROS3