View source for 18274566. MAP PROCESSING DEVICE AND METHOD THEREOF simplified abstract (Telefonaktiebolaget LM Ericsson (publ))

=MAP PROCESSING DEVICE AND METHOD THEREOF=


==Organization Name==

[[:Category:Telefonaktiebolaget LM Ericsson (publ)|Telefonaktiebolaget LM Ericsson (publ)]]


[[Category:Telefonaktiebolaget LM Ericsson (publ)]]

==Inventor(s)==

[[:Category:José Ara�jo of Stockholm (SE)|José Ara�jo of Stockholm (SE)]][[Category:José Ara�jo of Stockholm (SE)]]

[[:Category:Sebastian Barbas Laina of Stockholm (SE)|Sebastian Barbas Laina of Stockholm (SE)]][[Category:Sebastian Barbas Laina of Stockholm (SE)]]

[[:Category:Paula Carb� Cubero of Sundbyberg (SE)|Paula Carb� Cubero of Sundbyberg (SE)]][[Category:Paula Carb� Cubero of Sundbyberg (SE)]]

[[:Category:Ananya Muddukrishna of Enskededalen (SE)|Ananya Muddukrishna of Enskededalen (SE)]][[Category:Ananya Muddukrishna of Enskededalen (SE)]]

[[:Category:Ioannis Karagiannis of Kalamata (GR)|Ioannis Karagiannis of Kalamata (GR)]][[Category:Ioannis Karagiannis of Kalamata (GR)]]

==MAP PROCESSING DEVICE AND METHOD THEREOF - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18274566 titled 'MAP PROCESSING DEVICE AND METHOD THEREOF

==Simplified Explanation==

The abstract describes a patent application for a map processing device that uses images from a camera on a mobile device to detect 2D features, densify them, and determine their locations in 3D space using depth information from another mobile device's depth sensor.

* The map processing device obtains images from a camera on a mobile device.
* 2D features are detected in the images and some are densified to create a densified set of 2D features.
* The locations of the densified 2D features are determined in 3D space using an image-based localization algorithm.
* Depth information from a depth sensor on another mobile device is accessed to provide depth information corresponding to real-world features.
* The camera on the mobile device is localized in the real world by matching the densified 2D features to the depth information in the structure-based map.

== Potential Applications ==
This technology could be used in augmented reality applications, indoor navigation systems, and 3D mapping services.

== Problems Solved ==
This technology solves the problem of accurately localizing a mobile device in the real world using 2D features and depth information.

== Benefits ==
The benefits of this technology include improved accuracy in location-based services, enhanced augmented reality experiences, and better indoor navigation capabilities.

== Potential Commercial Applications ==
Potential commercial applications of this technology include mobile mapping apps, indoor navigation solutions for large buildings or complexes, and augmented reality gaming platforms.

== Possible Prior Art ==
One possible prior art for this technology could be the use of SLAM (Simultaneous Localization and Mapping) algorithms in mobile devices for indoor navigation and augmented reality applications.

=== What are the limitations of this technology in terms of accuracy and reliability? ===

The accuracy and reliability of this technology may be affected by the quality of the images captured by the camera, the availability and accuracy of the depth information from the depth sensor, and the performance of the image-based localization algorithm.

=== How does this technology handle privacy concerns related to capturing and processing images for mapping purposes? ===

This technology may raise privacy concerns related to capturing and processing images of real-world environments. It is important to ensure that user data is handled securely and that appropriate consent is obtained for the collection and use of images for mapping purposes. Additionally, anonymization techniques may be employed to protect the privacy of individuals captured in the images.


==Original Abstract Submitted==

A map processing device obtains images from a camera transported with a mobile device, and detects 2D features in the images. At least some of the 2D features detected in the images are densified to generate a densified set of 2D features. Locations of the densified set of 2D features are determined in 3D space using an image-based localization algorithm. A structure-based map comprising depth information from a depth sensor transported by another mobile device is accessed, wherein the depth information includes a set of data points indicating locations in 3D space corresponding to features in the real-world sensed by the depth sensor. The camera transported with the mobile device is localized to the real-world based on matching the locations of the densified set of 2D features in 3D space to the depth information accessed in the structure-based map.



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