View source for 16964982. METHOD OF UPDATING MAP IN FUSION SLAM AND ROBOT IMPLEMENTING SAME simplified abstract (LG ELECTRONICS INC.)

=METHOD OF UPDATING MAP IN FUSION SLAM AND ROBOT IMPLEMENTING SAME=


==Organization Name==

[[:Category:LG ELECTRONICS INC.|LG ELECTRONICS INC.]]


[[Category:LG ELECTRONICS INC.]]

==Inventor(s)==

[[:Category:Gyuho Eoh of Seoul (KR)|Gyuho Eoh of Seoul (KR)]][[Category:Gyuho Eoh of Seoul (KR)]]

[[:Category:Jungsik Kim of Seoul (KR)|Jungsik Kim of Seoul (KR)]][[Category:Jungsik Kim of Seoul (KR)]]

[[:Category:Hyoungrock Kim of Seoul (KR)|Hyoungrock Kim of Seoul (KR)]][[Category:Hyoungrock Kim of Seoul (KR)]]

[[:Category:Dong Ki Noh of Seoul (KR)|Dong Ki Noh of Seoul (KR)]][[Category:Dong Ki Noh of Seoul (KR)]]

[[:Category:Joongtae Park of Seoul (KR)|Joongtae Park of Seoul (KR)]][[Category:Joongtae Park of Seoul (KR)]]

==METHOD OF UPDATING MAP IN FUSION SLAM AND ROBOT IMPLEMENTING SAME - A simplified explanation of the abstract==


This abstract first appeared for US patent application 16964982 titled 'METHOD OF UPDATING MAP IN FUSION SLAM AND ROBOT IMPLEMENTING SAME

==Simplified Explanation==

The patent application describes a method and robot for updating a map in fusion SLAM (Simultaneous Localization and Mapping) using two types of sensors. The robot is designed to update a first map with information acquired by a first sensor and estimate its current position using information acquired by a second sensor.

* The method involves updating a map in fusion SLAM using two types of sensors.
* The robot is configured to update a first map with first type information acquired by a first sensor.
* The robot also uses second type information acquired by a second sensor to estimate its current position.
* Fusion SLAM refers to the simultaneous localization and mapping technique that combines sensor data to create and update a map while estimating the robot's position.

== Potential Applications ==
* This technology can be applied in various fields where accurate mapping and localization are crucial, such as robotics, autonomous vehicles, and drones.
* It can be used in indoor navigation systems to create and update maps of buildings or large facilities.
* The method can be implemented in search and rescue robots to accurately navigate and map disaster-stricken areas.

== Problems Solved ==
* Traditional SLAM techniques often rely on a single type of sensor, which may not provide sufficient accuracy or coverage.
* By using two types of sensors, this method improves the accuracy and reliability of the map updates and robot localization.
* The fusion of sensor data allows for better mapping and localization in complex environments with varying conditions.

== Benefits ==
* The use of two types of sensors enhances the accuracy and reliability of map updates and robot localization.
* The fusion SLAM technique enables real-time mapping and localization, which is essential for autonomous systems.
* This method can improve the efficiency and effectiveness of various applications, such as autonomous navigation, surveillance, and exploration.


==Original Abstract Submitted==

Disclosed herein are a method of updating a map in fusion SLAM and a robot implementing the same, the robot, which updates a map in fusion SLAM using two types of sensors, configured to update a first map with first type information acquired by a first sensor and to estimate a current position of the robot using second type information acquired by a second sensor.



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[[Category:G06T7/579]]
[[Category:G01S17/89]]
[[Category:G06F30/13]]