View source for 18143374. APPARATUS FOR GENERATING A DEPTH MAP OF A MONOCULAR CAMERA IMAGE AND A METHOD THEREOF simplified abstract (Kia Corporation)

=APPARATUS FOR GENERATING A DEPTH MAP OF A MONOCULAR CAMERA IMAGE AND A METHOD THEREOF=


==Organization Name==

[[:Category:Kia Corporation|Kia Corporation]]


[[Category:Kia Corporation]]

==Inventor(s)==

[[:Category:Jin Sol Kim of Hwaseong-si (KR)|Jin Sol Kim of Hwaseong-si (KR)]][[Category:Jin Sol Kim of Hwaseong-si (KR)]]

[[:Category:Jin Ho Park of Seoul (KR)|Jin Ho Park of Seoul (KR)]][[Category:Jin Ho Park of Seoul (KR)]]

[[:Category:Jang Yoon Kim of Seoul (KR)|Jang Yoon Kim of Seoul (KR)]][[Category:Jang Yoon Kim of Seoul (KR)]]

==APPARATUS FOR GENERATING A DEPTH MAP OF A MONOCULAR CAMERA IMAGE AND A METHOD THEREOF - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18143374 titled 'APPARATUS FOR GENERATING A DEPTH MAP OF A MONOCULAR CAMERA IMAGE AND A METHOD THEREOF

'''Simplified Explanation:'''
This patent application describes an apparatus and method for generating a depth map from a monocular camera image using a combination of a camera sensor and a lidar sensor.

* The apparatus includes a camera sensor that captures a monocular camera image.
* It also includes a lidar sensor that creates a point cloud corresponding to the monocular camera image.
* A controller is used to remove noise from the point cloud and generate a depth map of the monocular camera image based on the cleaned point cloud.

'''Key Features and Innovation:'''
* Integration of a camera sensor and a lidar sensor for depth map generation.
* Noise removal from the point cloud to enhance accuracy.
* Utilization of point cloud data to create a detailed depth map.

'''Potential Applications:'''
This technology can be applied in various fields such as autonomous driving, robotics, augmented reality, and 3D modeling.

'''Problems Solved:'''
* Enhances the accuracy of depth mapping from monocular camera images.
* Provides a more detailed understanding of the spatial environment.

'''Benefits:'''
* Improved depth perception for machines and devices.
* Enhanced spatial awareness for navigation and object detection.

'''Commercial Applications:'''
Potential commercial applications include autonomous vehicles, surveillance systems, virtual reality experiences, and industrial automation.

'''Questions about Depth Mapping Technology:'''
1. How does the integration of a lidar sensor improve the accuracy of depth mapping compared to using only a monocular camera?
2. What are the key challenges in implementing this technology in real-world applications?

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==Original Abstract Submitted==

An apparatus and a method are for generating a depth map of a monocular camera image. The apparatus includes: a camera sensor that photographs a monocular camera image; a lidar sensor that generates a point cloud corresponding to the monocular camera image; and a controller that removes noise from the point cloud and generates the depth map of the monocular camera image based on the point cloud from which the noise is removed.



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