18217904. APPARATUS AND METHOD FOR DETECTING AN OBJECT AND A COMPUTER READABLE RECORDING MEDIUM THEREFOR simplified abstract (Kia Corporation)

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APPARATUS AND METHOD FOR DETECTING AN OBJECT AND A COMPUTER READABLE RECORDING MEDIUM THEREFOR

Organization Name

Kia Corporation

Inventor(s)

Young Hyun Kim of Seoul (KR)

Seo Won Lee of Seoul (KR)

Jin Kyu Kim of Seoul (KR)

Sang Pil Kim of Seoul (KR)

Won Seok Roh of Seoul (KR)

APPARATUS AND METHOD FOR DETECTING AN OBJECT AND A COMPUTER READABLE RECORDING MEDIUM THEREFOR - A simplified explanation of the abstract

This abstract first appeared for US patent application 18217904 titled 'APPARATUS AND METHOD FOR DETECTING AN OBJECT AND A COMPUTER READABLE RECORDING MEDIUM THEREFOR

Simplified Explanation: The patent application describes an apparatus and method for detecting objects using multiple cameras and advanced neural networks.

  • The apparatus includes two cameras that capture images from different angles, an object detection network that identifies objects in the images, and a stereo matching device that corrects depth discrepancies between the images.
  • The apparatus also features a feature vector determination device that reduces differences in object features between overlapping and non-overlapping regions in the images.

Key Features and Innovation:

  • Utilizes two cameras with overlapping views to improve object detection accuracy.
  • Incorporates advanced neural networks for object detection and depth correction.
  • Adversarial learning technique reduces feature discrepancies between objects in different regions of the images.

Potential Applications:

  • Autonomous vehicles for improved object detection and collision avoidance.
  • Surveillance systems for enhanced security and threat detection.
  • Robotics for precise object manipulation and navigation.

Problems Solved:

  • Inaccurate object detection due to depth discrepancies in images.
  • Variability in object features across different regions of images.

Benefits:

  • Enhanced object detection accuracy.
  • Improved depth perception in images.
  • Consistent object feature recognition.

Commercial Applications: The technology can be applied in various industries such as automotive, security, and robotics for advanced object detection and depth correction capabilities, leading to safer and more efficient operations.

Prior Art: Readers can explore prior research on object detection, stereo matching, and adversarial learning techniques in computer vision and artificial intelligence fields.

Frequently Updated Research: Stay informed about the latest advancements in object detection, depth correction, and feature recognition in computer vision and neural network research.

Questions about Object Detection Technology: 1. How does the apparatus improve object detection accuracy compared to traditional methods? 2. What are the potential limitations of using multiple cameras for object detection in real-world applications?


Original Abstract Submitted

An apparatus and method for detecting an object and a computer readable recording medium therefor are disclosed. The apparatus includes: a first camera that obtains a first image of a first view angle range; a second camera that obtains a second image of a second view angle range having an overlapping region with the first view angle range; an object detection network that detects an object in the first and second images; a stereo matching device that corrects a deviation of a depth value between the first and second images in the overlapping region based on a feature value output by a backbone network of the object detection network; and a feature vector determination device that performs adversarial learning to reduce a deviation of a feature vector between objects in the overlapping region and a non-overlapping region while the object detection network detects the object.