A Real-Time Physical Progress Measurement Method for Schedule Performance Control Using Vision, an AR Marker and Machine Learning in a Ship Block Assembly Process.
Taihun ChoiYoonho SeoPublished in: Sensors (2020)
Keyphrases
- real time
- machine learning
- control system
- statistical methods
- machine learning methods
- model selection
- vision system
- mathematical model
- detection method
- human computer interaction
- support vector machine
- dynamic programming
- computational complexity
- computer vision
- mobile robot
- significant improvement
- augmented reality
- random access
- control loop