Publisher : The Korean Society of Mechanical Engineers
DOI : 10.22634/KSME-A.19188.8.131.521
Title & Authors
A study on the real time obstacle recognition by scanned line image Cheung, Sheung-Youb; Oh, Jun-Ho;
This study is devoted to the detection of the 3-dimensional point obstacles on the plane by using accumulated scan line images. The proposed accumulating only one scan line allow to process image at real time. And the change of motion of the feature in image is small because of the short time between image frames, so it does not take much time to track features. To obtain recursive optimal obstacles position and robot motion along to the motion of camera, Kalman filter algorithm is used. After using Kalman filter in case of the fixed environment, 3-dimensional obstacles point map is obtained. The position and motion of moving obstacles can also be obtained by pre-segmentation. Finally, to solve the stereo ambiguity problem from multiple matches, the camera motion is actively used to discard mis-matched features. To get relative distance of obstacles from camera, parallel stereo camera setup is used. In order to evaluate the proposed algorithm, experiments are carried out by a small test vehicle.
Computer Vision;Stereo Image;Scanned Line Image;Obstacle Detection;Real Time Image Processing;Multiple Matching;Kalman Filter;
실시간 시각 정보처리기능을 갖는 지능형 이동 로봇에 관한 연구, 1992.
이동로봇 실내 운항을 위한 다중 센서를 이용한 모델 작성기법에 대한 연구, 1994.
영상 축소와 분산처리를 이용한 이동로봇의 실시간 영상처리, 1995.
Visual Collision Avoidance by Segmentation, 1994.
In Proc. IEEE. Int. Conf. on Intelligent Robots and Systems, 1993.
Optical Flow를 이용한 3차원거리 정보 추출에 관한 연구, 1991.
In Proc. IEEE, Trans. Pattern Analysis and Machine Intelligence, 1994.
Three Dimensional Computer Vision, 0000.
Int. Journal of Computer Vision, 1987.