18578517. METHODS AND APPARATUSES FOR ENABLING DETERMINATION OF A POSITION OF A MOBILE DEVICE IN AN ENVIRONMENT simplified abstract (Telefonaktiebolaget LM Ericsson (publ))
METHODS AND APPARATUSES FOR ENABLING DETERMINATION OF A POSITION OF A MOBILE DEVICE IN AN ENVIRONMENT
Organization Name
Telefonaktiebolaget LM Ericsson (publ)
Inventor(s)
Jean Paulo Martins of Indaiatuba (BR)
Klaus Raizer of Indaiatuba (BR)
Amadeu Do Nascimento Junior of Indaiatuba (BR)
METHODS AND APPARATUSES FOR ENABLING DETERMINATION OF A POSITION OF A MOBILE DEVICE IN AN ENVIRONMENT - A simplified explanation of the abstract
This abstract first appeared for US patent application 18578517 titled 'METHODS AND APPARATUSES FOR ENABLING DETERMINATION OF A POSITION OF A MOBILE DEVICE IN AN ENVIRONMENT
The abstract of this patent application describes a method in a contrastive learning node that involves using landmark feature images to determine the position of a mobile device.
- Obtaining a set of landmark feature images representing landmark features in the environment
- Obtaining a first feature image derived from an image captured by the mobile device
- Using a contrastive learning model to determine if the first feature image is similar to any of the landmark feature images
- Initiating determination of the position of the mobile device if a landmark feature image is similar to the first feature image
- Retraining the contrastive learning model if none of the landmark feature images are similar to the first feature image
Potential Applications: - Location-based services - Augmented reality applications - Navigation systems
Problems Solved: - Efficiently determining the position of a mobile device using landmark features - Improving accuracy in identifying landmark features in the environment
Benefits: - Enhanced user experience in location-based applications - Improved accuracy and efficiency in determining device position
Commercial Applications: Title: "Enhanced Location-Based Services Using Contrastive Learning" This technology can be used in mobile apps for navigation, tourism, and real-time location tracking, enhancing user experience and accuracy.
Questions about the technology: 1. How does this technology improve the accuracy of determining the position of a mobile device? 2. What are the potential limitations of using landmark feature images for device positioning?
Original Abstract Submitted
A method in a contrastive learning node includes obtaining a set of landmark feature images representing a set of landmark features in the environment; obtaining a first feature image derived from a first image captured by the mobile device; determining, using a contrastive learning model, whether the first feature image is similar to any of the set of landmark feature images, wherein the contrastive learning model is trained based on a first set of feature images; responsive to determining that a landmark feature image is similar to the first feature image, initiating determination of a position of the mobile device; and responsive to determining that none of the set of landmark features images are similar to the first feature image, retraining the contrastive learning model based on an updated set of feature images comprising the first feature image.
