Your Selections

Kim, Dong Suk
Show Only

Collections

File Formats

Content Types

Dates

Sectors

Topics

Authors

Publishers

Affiliations

Events

   This content is not included in your SAE MOBILUS subscription, or you are not logged in.

Novel User Interface for Semi-Automatic Parking Assistance System

MANDO Corporation-Dong Suk Kim, Pal Joo Yoon
MANDO Corporation and Yonsei Univ.-Ho Gi Jung
  • Technical Paper
  • 2006-05-0044
Published 2006-10-22 by Society of Automotive Engineers of Japan in Japan
This paper proposes a novel user interface for semi-automatic parking assistance system, which automates steering handling during parking operation. In spite of recent progresses of automatic target position designation method, manual designation is supposed to have two important roles. First, manual designation can be used to refine the target position established by automatic designation method. Second, manual designation is necessary for the backup of automatic designation method. Proposed user interface provides an easy-to-use manual designation method based on drag & drop concept. Target position is depicted as a rectangle in touch-screen-based HMI (Human Machine Interface). Driver can move the rectangle by dragging the inside of rectangle. Driver can rotate the rectangle by dragging the outside of rectangle. We compare the proposed method with multiple-arrow-based method, which provides several arrow buttons to move and rotate target position, by measuring total operation time and clicking number. We can conclude that proposed method shortens the operation time and reduces the clicking number.
   This content is not included in your SAE MOBILUS subscription, or you are not logged in.

Stereo Vision Based Parking Assist System

Mando Corporation-Chi Gun Choi, Dong Suk Kim, Ho Gi Jung, Pal Joo Yoon
Published 2006-04-03 by SAE International in United States
This paper presents semi-automatic parking assist system, which performs stereo vision based recognition of free parking site and parking guidance with automated steering operation. Pixel structure classification and feature based stereo matching extracts the 3D information of parking site. Parking site marking is separated by plane surface constraint and is transformed into bird's eye view, on which template matching is performed to determine the location of parking site. Obstacle depth map, which is generated from the disparity of adjacent vehicle can be used as the guideline of template matching by limiting the search range and the orientation. Proposed method using both the obstacle depth map and the bird's eye view of parking site marking increases the operation speed and the robustness to visual noise by effectively limiting the search range. Using this map information, geometrical relation is tested and efficient parking path is generated. Desired steering angle data correspondent with wheel travel is transmitted to electric power steering via serial communication. This system was implemented on real passenger car and tested in practical parking situation.
Annotation ability available

3D Vision System for the Recognition of Free Parking Site Location

MANDO Corp.-Ho Gi Jung, Dong Suk Kim, Pal Joo Yoon
Yonsei Univ.-Jai Hie Kim
  • Technical Paper
  • 2005-03-0189
Published 2005-08-22 by Society of Automotive Engineers of Korea in South Korea
This paper describes a novel stereo-vision-based localization of free parking site, which recognizes the target position of automatic parking system. Pixel structure classification and feature-based stereo matching extract the 3D information of parking site in real time. The pixel structure represents intensity configuration around a pixel and the feature-based stereo matching uses step-by-step investigation strategy to reduce computational load. This paper considers only parking site divided by marking, which is generally drawn according to relevant standards. Parking site marking is separated by plane surface constraint and is transformed into bird's eye view, on which template matching is performed to determine the location of parking site. Obstacle depth map, which is generated from the disparity of adjacent vehicles, can be used as the guideline of template matching by limiting search range and orientation. Proposed method using both the obstacle depth map and the bird's eye view of parking site marking increases operation speed and robustness to visual noise by effectively limiting search range.