View source for 20230169782. CABIN MONITORING AND SITUATION UNDERSTANDING PERCEIVING METHOD AND SYSTEM THEREOF simplified abstract (Automotive Research & Testing Center)

=CABIN MONITORING AND SITUATION UNDERSTANDING PERCEIVING METHOD AND SYSTEM THEREOF=


==Organization Name==

[[:Category:Automotive Research & Testing Center|Automotive Research & Testing Center]]


[[Category:Automotive Research & Testing Center]]

==Inventor(s)==

[[:Category:Yi-Jie Lin of Changhua County (TW)|Yi-Jie Lin of Changhua County (TW)]][[Category:Yi-Jie Lin of Changhua County (TW)]]

==CABIN MONITORING AND SITUATION UNDERSTANDING PERCEIVING METHOD AND SYSTEM THEREOF - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20230169782 titled 'CABIN MONITORING AND SITUATION UNDERSTANDING PERCEIVING METHOD AND SYSTEM THEREOF

==Simplified Explanation==

The patent application proposes a method for monitoring and understanding the situation inside a cabin. It involves capturing an image of the cabin interior, creating a generative adversarial network model based on the image, adjusting the image to generate an approximate image, processing the approximate image to recognize faces and estimate human poses, capturing an image of the cabin exterior and voice information, and using a situation understanding model to perceive the situation inside the cabin.

* The method involves capturing an image of the cabin interior.
* A generative adversarial network model is created based on the cabin interior image.
* The cabin interior image is adjusted to generate an approximate image.
* The approximate image is processed to recognize faces and estimate human poses.
* An image of the cabin exterior and voice information are captured.
* The approximate image, cabin exterior image, and voice information are processed using a situation understanding model.
* The result is a perception of the situation inside the cabin.

== Potential Applications ==
* Cabin monitoring in autonomous vehicles.
* Surveillance systems in cabins, such as in airplanes or ships.
* Safety monitoring in confined spaces, like elevators or control rooms.

== Problems Solved ==
* Provides a method for monitoring and understanding the situation inside a cabin.
* Enables recognition of faces and estimation of human poses in the cabin.
* Integrates image and voice information to perceive the situation inside the cabin.

== Benefits ==
* Enhances safety and security in cabins by monitoring and understanding the situation.
* Can be applied in various industries, including transportation, surveillance, and safety.
* Provides real-time monitoring and situation understanding capabilities.


==Original Abstract Submitted==

a cabin monitoring and situation understanding perceiving method is proposed. a cabin interior image capturing step is performed to capture a cabin interior image. a generative adversarial network model creating step is performed to create a generative adversarial network model according to the cabin interior image. an image adjusting step is performed to adjust the cabin interior image to generate an approximate image. a cabin interior monitoring step is performed to process the approximate image to generate a facial recognizing result and a human pose estimating result. a cabin exterior image and voice capturing step is performed to capture a cabin exterior image and a voice information. a situation understanding perceiving step is performed to process at least one of the approximate image, the cabin exterior image and the voice information according to a situation understanding model to perceive a situation understanding result.



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