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John Tuley

dblp:27/5527 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2005
—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 · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computer vision › 3D vision
3d scene reconstruction
0.112005
Analysis and Removal of Artifacts in 3-D LADAR Data · ICRA 2005
Computer vision › 3D vision › point cloud processing
LiDAR data processing
0.012005
Analysis and Removal of Artifacts in 3-D LADAR Data · ICRA 2005

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

artifact removal · 0.1
YearPublicationVenuePosition
2005 Analysis and Removal of Artifacts in 3-D LADAR Data
abstract
Errors in laser based range measurements can be divided into two categories: intrinsic sensor errors (range drift with temperature, systematic and random errors), and errors due to the interaction of the laser beam with the environment. The former have traditionally received attention and can be modeled. The latter in contrast have long been observed but not well characterized. We propose to do so in this paper. In addition, we present a sensor independent method to remove such artifacts. The objective is to improve the overall quality of 3-D scene reconstruction to perform terrain classification of scenes with vegetation.
John Tuley, Nicolas Vandapel, Martial Hebert
ICRA1