18048968. HOLOGRAPHIC DISPLAY CALIBRATION simplified abstract (GM Global Technology Operations LLC)
Contents
- 1 HOLOGRAPHIC DISPLAY CALIBRATION
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 HOLOGRAPHIC DISPLAY CALIBRATION - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Prior Art
- 1.11 Frequently Updated Research
- 1.12 Questions about holographic head-up display technology
- 1.13 Original Abstract Submitted
HOLOGRAPHIC DISPLAY CALIBRATION
Organization Name
GM Global Technology Operations LLC
Inventor(s)
HOLOGRAPHIC DISPLAY CALIBRATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 18048968 titled 'HOLOGRAPHIC DISPLAY CALIBRATION
Simplified Explanation
The patent application describes a system for training a machine learning algorithm to generate ideal hologram phase correction maps using a holographic head-up display (HUD) and a camera system.
Key Features and Innovation
- Utilizes a holographic HUD to display duplicates of a graphic based on a hologram phase map.
- Uses a camera system to view the duplicates of the graphic.
- Employs a genetic algorithm to determine ground-truth hologram phase correction maps.
- Generates a training dataset with images of the graphic to train the machine learning algorithm.
Potential Applications
The technology can be applied in various fields such as augmented reality, medical imaging, and automotive displays.
Problems Solved
This technology addresses the need for accurate hologram phase correction maps for improved display quality and performance.
Benefits
- Enhances the accuracy and efficiency of generating hologram phase correction maps.
- Enables better visualization and display quality in holographic applications.
- Facilitates the training of machine learning algorithms for holographic displays.
Commercial Applications
- Augmented reality devices
- Medical imaging systems
- Automotive heads-up displays
Prior Art
There is ongoing research in the field of holographic displays and machine learning algorithms for image processing.
Frequently Updated Research
Research on improving holographic display technologies and machine learning algorithms for image processing is continuously evolving.
Questions about holographic head-up display technology
Question 1
How does the system use a genetic algorithm to determine ground-truth hologram phase correction maps?
Question 2
What are the potential challenges in training a machine learning algorithm to generate ideal hologram phase correction maps?
Original Abstract Submitted
A system for training a machine learning algorithm to generate a plurality of ideal hologram phase correction maps includes a holographic head-up display (HUD) configured to display a plurality of duplicates of a graphic based on a hologram phase map. The system further includes a camera system configured to view each of the plurality of duplicates of the graphic. The system further includes a controller in electrical communication with the holographic HUD and the camera system. The controller is programmed to determine a plurality of ground-truth hologram phase correction maps using a genetic algorithm, the holographic HUD, and the camera system. The controller is further programmed to generate a training dataset including a plurality of images of the graphic and train the machine learning algorithm to generate the plurality of ideal hologram phase correction maps.
