Skip to main navigation
Skip to search
Skip to main content
Welcome to DTU Research Database Home
About DTU Orbit
Home
Profiles
Research units
Publications
Activities
Projects
Prizes
Press/Media
Datasets
Search by expertise, name or affiliation
Machine Learning Based Perception for Inspection
Rasmus Eckholdt Andersen
Automation and Control
Department of Electrical and Photonics Engineering
Research output
:
Book/Report
›
Ph.D. thesis
184
Downloads (Pure)
Overview
Fingerprint
Projects
(1)
Fingerprint
Dive into the research topics of 'Machine Learning Based Perception for Inspection'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Engineering
Surveyor
100%
Deep Learning
100%
Ground Truth
66%
Defects
66%
Computervision
33%
Drone
33%
Visual Inspection
33%
Natural Variation
33%
Tasks
33%
Computer Science
Machine Learning
100%
Inspection Process
100%
Deep Learning
50%
Object Detection
25%
Deep Learning Model
25%
False Positive
25%
Computer Vision
25%
Uncertainty Estimation
25%
robotic platform
25%
Domain Adaptation
25%
Visual Inspection
25%
Keyphrases
Navigational Behavior
25%
Probabilistic Deep Learning
25%
Merchandising
25%