Finding passable regions for robots from a single still image
文献类型:期刊论文
作者 | Tian JD(田建东)![]() ![]() |
刊名 | International Journal of Robotics & Automation
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出版日期 | 2009 |
卷号 | 24期号:3页码:228-234 |
关键词 | Monocular vision MILN depth cues passable regions |
ISSN号 | 0826-8185 |
产权排序 | 1 |
中文摘要 | Vision-guided obstacle avoidance, especially in unstructured environments, is a challenging issue in robotics. The paper proposes a biological inspired method to find passable regions based on the estimation of relative depth in a single still colour image. In the method, Multiple-layer In-place Learning Network (MILN) is applied to learn the passable regions in images, choosing several depth-related features extracted from the images as inputs. The method proposed here does not need any special prior knowledge or assumptions. We test our method on practical images of different scenes. Experimental results validate our method. |
WOS标题词 | Science & Technology ; Technology |
类目[WOS] | Automation & Control Systems ; Robotics |
研究领域[WOS] | Automation & Control Systems ; Robotics |
关键词[WOS] | DEPTH |
收录类别 | SCI ; EI |
语种 | 英语 |
WOS记录号 | WOS:000268644300009 |
公开日期 | 2012-05-29 |
源URL | [http://ir.sia.cn/handle/173321/7353] ![]() |
专题 | 沈阳自动化研究所_机器人学研究室 |
推荐引用方式 GB/T 7714 | Tian JD,Dong W,Tang YD. Finding passable regions for robots from a single still image[J]. International Journal of Robotics & Automation,2009,24(3):228-234. |
APA | Tian JD,Dong W,&Tang YD.(2009).Finding passable regions for robots from a single still image.International Journal of Robotics & Automation,24(3),228-234. |
MLA | Tian JD,et al."Finding passable regions for robots from a single still image".International Journal of Robotics & Automation 24.3(2009):228-234. |
入库方式: OAI收割
来源:沈阳自动化研究所
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