학술논문
Visual segmentation of lawn grass for a mobile robotic lawnmower
Document Type
Conference
Source
2010 IEEE/RSJ International Conference on Intelligent Robots and Systems Intelligent Robots and Systems (IROS), 2010 IEEE/RSJ International Conference on. :734-739 Oct, 2010
Subject
Language
ISSN
2153-0858
2153-0866
2153-0866
Abstract
We investigate the existence of computationally inexpensive first and second order statistics that uniquely describe grass for application in an autonomous lawnmower. We then segment images based on these statistics to determine locations of driveable terrain in an image. Tight statistical clustering of illuminated grass versus artificial texture suggests that this method is sufficient for identifying driveable terrain for an autonomous lawnmower.