Concepedia

Danielle DeLatte

DD

3

Publications

195

Citations

3

H-Index

2017

Active since

Affiliations

The University of Tokyo(Current)

Japan Aerospace Exploration Agency

Danielle DeLatte is an author at The University of Tokyo specializing in data science, engineering, and computer vision.

Top concepts

EngineeringData ScienceDeep LearningImage AnalysisMachine VisionComputer VisionMachine LearningImage SegmentationRoboticsKinematics

Publications per year

2017–2019

3

Publications

3

Automated crater detection algorithms from a machine learning perspective in the convolutional neural network era

Danielle DeLatte, S. T. Crites, Nicholas Guttenberg et al. · Advances in Space Research · 2019 · 73 citations

Image Classification, Convolutional Neural Network, Image Analysis +11

Recent Developments in Aerial Robotics: A Survey and Prototypes Overview

Chun Fui Liew, Danielle DeLatte, Naoya Takeishi et al. · arXiv (Cornell University) · 2017 · 68 citations · Full text

Artificial Intelligence, Uav Research, Engineering +20

Segmentation Convolutional Neural Networks for Automatic Crater Detection on Mars

Danielle DeLatte, S. T. Crites, Nicholas Guttenberg et al. · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · 2019 · 54 citations

Image Classification, Convolutional Neural Network, Image Analysis +15

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