標題: Fast optical flow estimation and its application to real-time obstacle avoidance
作者: Song, KT
Huang, JH
電控工程研究所
Institute of Electrical and Control Engineering
公開日期: 2001
摘要: This paper presents a novel fast optical flow estimation algorithm and its application to real-time obstacle avoidance of a guide-dog robot. The function of the laboratory-developed robot is to help blind or visually impaired pedestrians to move safely among obstacles. The proposed algorithm features a combination of the conventional correlation-based principle and the differential-based method for optical flow estimation. Employing image intensity gradients as features for pattern matching, we set up a brightness constraint to configure the search area. The merit of this scheme is that the computation load can be greatly reduced and in the mean time the possibility of estimation error is decreased. The vision system has been established on board the robot to provide depth information of the immediate environment. The depth data are transformed to a safety distribution histogram and used for real-time obstacle avoidance. Experimental results demonstrate that the proposed method is effective for a guidance robot in a dynamic environment.
URI: http://hdl.handle.net/11536/19049
ISBN: 0-7803-6576-3
ISSN: 1050-4729
期刊: 2001 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, VOLS I-IV, PROCEEDINGS
起始頁: 2891
結束頁: 2896
Appears in Collections:Conferences Paper