Abstract
Currently, intensive research is underway to develop remotely controlled and autonomous underwater robots that use technical vision systems. Typical examples of tasks that can be solved using them are: monitoring the environment; detecting objects and obstacles; approaching the robot with an object; performing operations with objects. The article focuses on the problems of constructing images of the working space of an underwater robot designed to perform operations with objects based on information received from a stereo camera. Robust algorithms for constructing 3D images of the robot's workspace based on a perspective camera model and using triangulation and clustering methods are proposed and tested on real data. Image processing algorithms take into account the presence of a waterproof shell.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
