Samsung Electronics Co., Ltd.

Ja-hoo Koo

Yoon-suk Hyun

Jae-woo Lee

Cheol-hun Jang

Dae-hyun Ji

Won-ju Lee

Dong-wook Lee

Se-ho Shin

Provided are a calibration method and a calibration apparatus for steering assist or autonomous driving of a vehicle in which lines on a road are detected from an image and coordinates of the lines in an image domain are transformed into coordinates in a world domain to update homography matrix that represents a transformation relationship between the image domain and the world domain, and controlling the vehicle traveling on the road based on the lines.

Method and apparatus for auto calibration

Provided are a method and apparatus for determining driving information. The apparatus generates a probability map corresponding to a target object to be detected from a driving image, extracts representative points from a candidate region of the target object detected from the driving image, extracts some of the representative points based on the probability map, calculates a confidence value for the candidate region of the target object based on the extracted some representative points, and determines driving information of the vehicle based on the confidence value.

Method and apparatus for determining driving information

A distance estimating method and apparatus are provided. The method includes acquiring a real target length corresponding to target points of an object, calculating, from an input image, an image target length corresponding to the real target length, and estimating a distance from a distance estimating apparatus to the object, based on the real target length, the image target length, and a focal length thereof.

Distance estimating method and apparatus

Provided are an apparatus and a method for converting an image. The apparatus includes an image sensor configured to obtain an image of a road, and a processor. The processor is configured to segment an input image into a plurality of region images, determine a vanishing point corresponding to each of the plurality of region images, obtain a translation relation for converting two-dimensional (2D) coordinates of a point in a region image among the plurality of region images into three-dimensional (3D) coordinates, based on a vanishing point of the region image, and generate road profile data based on translation relations of the plurality of region images.

Growing community of inventors

Seoul, South Korea

Ja-hoo Koo