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Taeko Gotoh

dblp:35/5015 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2003
—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
3D vision · 56% Probabilistic and Bayesian machine learning · 28% Legged, aerial and field robots · 8%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computer vision › 3D vision › range sensing
depth sensing
0.012003
Evaluation of shadow range finder: SRF for planetary surface exploration · ICRA 2003
Computer vision › 3D vision › depth estimation
range estimation
0.012003
Evaluation of shadow range finder: SRF for planetary surface exploration · ICRA 2003
Machine learning › Probabilistic and Bayesian machine learning
sampling
0.012003
Evaluation of shadow range finder: SRF for planetary surface exploration · ICRA 2003
Robotics › Legged, aerial and field robots › field robotics
planetary rover
0.012003
Evaluation of shadow range finder: SRF for planetary surface exploration · ICRA 2003
Robotics › Robot manipulation › tactile sensing
surface exploration
0.012003
Evaluation of shadow range finder: SRF for planetary surface exploration · ICRA 2003

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

single-camera measurement · 0.0image thresholding · 0.0
YearPublicationVenuePosition
2003 Evaluation of shadow range finder: SRF for planetary surface exploration
abstract
To gather a rock, it is necessary how to get information of the surface around a sample. Usually, a surface information is brought by a special sensor such as Laser Range Finder and Stereo Camera. These sensors, however, needs more weight and power consumption and are used for only one function such as the surface measurement. And furthermore, there are some difficulties to use those sensors in some case. In this research, we propose Shadow Range Finder: SRF, which can make good use of a shadow for the measurement of a surface information under the direct sunlight. Shadow is strong for above mentioned problem, and would be recognized in the case of a halation. The measurement by SRF uses a single camera, which should be installed on a manipulator for a sampling, and a link of a manipulator, which produce its shadow. The principle of SRF is same as Laser Range Finder, and a shadow is used for scanning slit instead of a laser. In this paper, experimental results of actual objects is shown, and we discusses about accuracy of measurement data. Finally, we evaluate image thresholding method by the consideration of theoretical value at a circular light source.
Yasuharu Kunii, Taeko Gotoh
ICRA2