18200396. ADVANCED DRIVER ASSISTANCE SYSTEM AND VEHICLE simplified abstract (KIA CORPORATION)

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ADVANCED DRIVER ASSISTANCE SYSTEM AND VEHICLE

Organization Name

KIA CORPORATION

Inventor(s)

Jung Hyun Lee of Seoul (KR)

Sam Yong Kim of Hwaseong-Si (KR)

Donghoon Koo of Seoul (KR)

ADVANCED DRIVER ASSISTANCE SYSTEM AND VEHICLE - A simplified explanation of the abstract

This abstract first appeared for US patent application 18200396 titled 'ADVANCED DRIVER ASSISTANCE SYSTEM AND VEHICLE

Simplified Explanation

The patent application describes an advanced driver assistance system (ADAS) that utilizes a camera to improve distance measurement accuracy and object recognition. The system includes a communicator, a processor, and various image processing algorithms to achieve this goal.

  • The system receives two images from the camera and extracts feature points from each image.
  • It matches feature points between the two images to calculate optical flow and vanishing point.
  • The system then determines the camera's pose based on the optical flow and vanishing point, which helps in correcting the distance to objects in the scene.

Potential Applications

The technology can be applied in autonomous vehicles, collision avoidance systems, and parking assistance systems.

Problems Solved

The system addresses the challenge of accurately measuring distances to objects in the camera's field of view, which is crucial for safe driving and maneuvering.

Benefits

- Improved accuracy in distance measurement - Enhanced object recognition capabilities - Increased safety on the road

Potential Commercial Applications

"Advanced Driver Assistance System (ADAS) for Enhanced Distance Measurement and Object Recognition"

Possible Prior Art

One possible prior art could be systems that use optical flow and feature matching for object recognition and distance measurement in computer vision applications.

Unanswered Questions

How does the system handle varying lighting conditions and weather effects on image quality?

The patent application does not provide details on how the system compensates for changes in lighting conditions or adverse weather effects that may impact image quality and feature extraction accuracy.

What is the computational overhead of the system and how does it impact real-time performance?

The patent application does not address the computational resources required to process images, extract features, and calculate distances in real-time, which could be crucial for practical implementation in ADAS systems.


Original Abstract Submitted

An advanced driver assistance system (ADAS) includes a communicator configured to communicate with a camera; and a processor configured to: receive a first image and a second image obtained by the camera, obtain a plurality of first feature points based on the received first image, obtain a plurality of second feature points based on the received second image, obtain a plurality of first and second feature points matching each other among the plurality of first feature points and the plurality of second feature points, obtain an optical flow and a vanishing point based on the plurality of first and second feature points matching each other, recognize a pose of the camera based on the optical flow and the vanishing point, and correct a distance to an object in the second image based on the recognized pose of the camera.