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Sensor Fusion-Based Approach to Eliminating Moving Objects for SLAM in Dynamic Environments | |
Zheng Rong1; Xiangwei Dang2; Xingdong Liang2 | |
发表期刊 | Sensors |
2021 | |
期号 | 21页码:1-24 |
摘要 | Accurate localization and reliable mapping is essential for autonomous navigation of |
关键词 | SLAM dynamic environments LiDAR mmW-radar sensor fusion moving objects |
收录类别 | SCI |
七大方向——子方向分类 | 三维视觉 |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/47455 |
专题 | 多模态人工智能系统全国重点实验室_机器人视觉 |
通讯作者 | Xingdong Liang |
作者单位 | 1.National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences 2.National Key Laboratory of Microwave Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences |
第一作者单位 | 模式识别国家重点实验室 |
推荐引用方式 GB/T 7714 | Zheng Rong,Xiangwei Dang,Xingdong Liang. Sensor Fusion-Based Approach to Eliminating Moving Objects for SLAM in Dynamic Environments[J]. Sensors,2021(21):1-24. |
APA | Zheng Rong,Xiangwei Dang,&Xingdong Liang.(2021).Sensor Fusion-Based Approach to Eliminating Moving Objects for SLAM in Dynamic Environments.Sensors(21),1-24. |
MLA | Zheng Rong,et al."Sensor Fusion-Based Approach to Eliminating Moving Objects for SLAM in Dynamic Environments".Sensors .21(2021):1-24. |
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sensors-21-00230-com(1080KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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