An algorithm for robot motion detection by means of a stereoscopic vision system
Sergio Savino
- 发表年份
- 2013
- 引用次数
- 4
摘要
This paper presents an algorithm for using the stereoscopic vision in environmental recognition and in particular in the motion detection. The algorithm is based on the recognition of certain environmental characteristics, in particular straight-line segments, to be identified in two distinct stereoscopic observations of the working environment. The knowledge of some environmental characteristics of a scene observed from different positions allows estimating the transformation between the observation positions. The study of such algorithm aims to promote the integration of stereoscopic vision in robotics, especially in mobile and autonomous robots, and to promote the use of these methodologies to improve the possibilities of control in the robotic applications. Some results are presented with reference to a stereoscopic vision system applied to a 3 d.o.f. revolute robot.
关键词
相关论文
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991