中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Robust Grass Boundary Detection for Lawn Mower with a Novel Design of Detection Device

文献类型:会议论文

作者Huiwen Guo; Xinyu Wu; Jianquan Sun; Yongsheng Ou; Wei Feng
出版日期2017
会议地点日本冲绳
英文摘要The automation of lawn mower can eliminate a lot of boring manual work. With the application of the intelligent technology, especially the automatic detection of grass boundary, the lawn mower can maintain the lawn regularly. However, typical boundary detection technology requires the user to set up a border wire around the lawn that defines the area to be mowed, which is a time-consuming and boring operation. Through a broad analysis of the characteristics of grass and non-grass terrain, in this paper, a novel device is designed to automatically detect the grass boundary. Without any prior manual work, lawn mower with our detection device can adapt to all kinds of grass environment. Our device requires only a line infrared light source and a camera with bandpass infrared filter. Light source, camera and grass make up a triangulation. With a simple but effective approach, grass boundary is detected robustly in the continuous frames. The practical experimental results on a variety of non-grass terrains and grasses demonstrate the effectiveness and the robustness of our method.
语种英语
源URL[http://ir.siat.ac.cn:8080/handle/172644/11874]  
专题深圳先进技术研究院_集成所
作者单位2017
推荐引用方式
GB/T 7714
Huiwen Guo,Xinyu Wu,Jianquan Sun,et al. Robust Grass Boundary Detection for Lawn Mower with a Novel Design of Detection Device[C]. 见:. 日本冲绳.

入库方式: OAI收割

来源:深圳先进技术研究院

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。