Evaluation methods for the autonomy of unmanned systems
文献类型:期刊论文
作者 | Wang YC(王越超)![]() ![]() |
刊名 | CHINESE SCIENCE BULLETIN
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出版日期 | 2012 |
卷号 | 57期号:26页码:3409-3418 |
关键词 | unmanned system autonomy evaluation level cobweb evaluation model |
ISSN号 | 1001-6538 |
产权排序 | 1 |
通讯作者 | 刘金国 |
中文摘要 | Future military and civilian unmanned systems will be extensively used on land, under the sea, in air, and in space. Evaluation of their autonomy is critical to realize the autonomous operation ability of unmanned systems. This paper discussed the basic concepts of autonomy and the significance of autonomy evaluation, and then surveys and describes existing evaluating methods. Based on analyses of key technologies and these technologies' technical readiness levels, a cobweb evaluation model as a universal evaluation model has been used to evaluate unmanned systems. If the technology warps (aspects of autonomy) and wefts (levels of those aspects) of unmanned systems can be determined for the cobweb model, the model can handle the mutual coupling, high dimensions, and diversity of warp lines. This model potentially has wide application in evaluating various unmanned systems. |
WOS标题词 | Science & Technology |
类目[WOS] | Multidisciplinary Sciences |
研究领域[WOS] | Science & Technology - Other Topics |
关键词[WOS] | AERIAL VEHICLE ; ROBOT |
收录类别 | SCI |
资助信息 | This work was supported by the National Security Program on Key Basic Research Projects (61381) and the CAS President's Award Winner Foundation. |
语种 | 英语 |
WOS记录号 | WOS:000308239400004 |
公开日期 | 2012-10-24 |
源URL | [http://ir.sia.cn/handle/173321/10024] ![]() |
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 | Wang YC,Liu JG. Evaluation methods for the autonomy of unmanned systems[J]. CHINESE SCIENCE BULLETIN,2012,57(26):3409-3418. |
APA | Wang YC,&Liu JG.(2012).Evaluation methods for the autonomy of unmanned systems.CHINESE SCIENCE BULLETIN,57(26),3409-3418. |
MLA | Wang YC,et al."Evaluation methods for the autonomy of unmanned systems".CHINESE SCIENCE BULLETIN 57.26(2012):3409-3418. |
入库方式: OAI收割
来源:沈阳自动化研究所
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