CAD-to-real: enabling deep neural networks for 3D pose estimation of electronic control units.
Simon BäuerleMoritz BöhlandJonas BarthMarkus ReischlAndreas SteimerRalf MikutPublished in: Autom. (2021)
Keyphrases
- neural network
- control unit
- control system
- pose estimation
- pattern recognition
- control method
- computer aided
- recurrent neural networks
- computer aided design
- artificial neural networks
- real life
- control signals
- real time
- design automation
- multi layer
- optimal control
- feed forward
- closed loop
- action recognition
- image sequences
- three dimensional
- case study
- computer vision
- real world