Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page
Demo Data from EDBT 2026 / reviewers in the wild / expert

D. Sathyadev

dblp:185/2156 · DBLP profile ↗
← Back
1ranked-venue papers
1as first author
0since 2021 · last 1987
—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
3D vision · 62% Robot navigation and mapping · 38%

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

TopicWeightPapersLastEvidence papers
Computer vision › 3D vision
motion estimation		 0.011987
Theoretical kinematics applied to three-dimensional motion estimation · ICRA 1987
Robotics › Robot navigation and mapping
localization		 0.011987
Theoretical kinematics applied to three-dimensional motion estimation · ICRA 1987
Robotics › Robot navigation and mapping › localization › vision-based localization
vision-based pose estimation		 0.011987
Theoretical kinematics applied to three-dimensional motion estimation · ICRA 1987

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

theoretical kinematics · 0.0projective geometry · 0.0image invariants · 0.0
YearPublicationVenuePosition
1987 Theoretical kinematics applied to three-dimensional motion estimation
abstract
This paper reviews the state of the art in estimating the three dimensional motion parameters of a robot end-effector executing space motion using a vision system. The emphasis is on methods based on geometry. A procedure to evaluate the "image invariants" based on four point correspondence of projective geometry is shown. This paper also draws attention to the analogous properties between the image invariants and the instantaneous invariants of theoretical kinematics.It is believed that the concepts of theoretical kinematics can be used to advance the state of the art in estimating the three-dimensional motion parameters.
D. Sathyadev, A. H. Soni
 ICRA1