GM GLOBAL TECHNOLOGY OPERATIONS LLC (20240320868). MACHINE LEARNING BASED HUD SYSTEM WITH ALERTS FOR HIDDEN BODIES simplified abstract
Contents
MACHINE LEARNING BASED HUD SYSTEM WITH ALERTS FOR HIDDEN BODIES
Organization Name
GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor(s)
Joseph F. Szczerba of Grand Blanc MI (US)
Akilesh Rajavenkatanarayanan of Macomb MI (US)
MACHINE LEARNING BASED HUD SYSTEM WITH ALERTS FOR HIDDEN BODIES - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240320868 titled 'MACHINE LEARNING BASED HUD SYSTEM WITH ALERTS FOR HIDDEN BODIES
The patent application describes a system for identifying hidden bodies and providing augmentation within a head-up display of a vehicle. This system includes front cameras, an augmented reality head-up display, and a controller with a trained neural network to map images and identify hidden bodies.
- Front cameras collect images of the environment in front of the vehicle.
- An augmented reality head-up display projects images onto the windshield.
- The controller uses a trained neural network to map images captured by the front cameras and identify hidden bodies.
- Augmentation graphics for the identified hidden bodies are displayed within the windshield of the vehicle.
Potential Applications: - Enhanced safety features for drivers by identifying hidden obstacles on the road. - Improved navigation systems by providing real-time information on road conditions. - Enhanced driving experience through augmented reality displays.
Problems Solved: - Increased awareness of hidden bodies or obstacles on the road. - Improved visibility and safety for drivers in various driving conditions.
Benefits: - Enhanced safety for drivers and passengers. - Improved navigation and driving experience. - Real-time information on road conditions.
Commercial Applications: Title: Advanced Augmented Reality System for Vehicle Safety and Navigation This technology can be used in the automotive industry to enhance driver safety and navigation systems. It can also be integrated into autonomous vehicles for improved obstacle detection and navigation capabilities.
Questions about the technology: 1. How does the system differentiate between hidden bodies and other objects in the environment? The system uses a trained neural network to analyze images and identify specific patterns associated with hidden bodies. 2. Can the system be integrated with existing vehicle safety features? Yes, the system can be integrated with existing safety features to enhance overall driver safety and navigation capabilities.
Original Abstract Submitted
a system for identifying hidden bodies and providing augmentation within a head up display of a vehicle including at least one front camera adapted to collect images of an environment in front of the vehicle within and adjacent to a roadway on which the vehicle is traveling, an augmented reality head up display adapted to project an image upon an inner surface of a windshield of the vehicle, an augmented reality display adapted to project an image within the windshield, the controller adapted to use a trained neural network stored therein to map images captured by the at least one front camera to light field camera images stored within the trained neural network and to identify hidden bodies within the images captured by the at least one front camera, and display, within a windshield of the vehicle, augmentation graphics for the identified hidden bodies.
