Efficient and High-Fidelity Mobility Prediction for Unmanned Ground Vehicles Based on Gaussian Sampled Terrain and Enhanced Neural Network
文献类型：期刊论文
| 作者 | Chen Hua ; Runxin Niu; Chunmao Jiang; Biao Yu; Hui Zhu; Bichun Li
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| 刊名 | IEEE Robotics and Automation Letters
 |
| 出版日期 | 2023-11-01 |
| 语种 | 英语 |
| 源URL | [http://ir.hfcas.ac.cn:8080/handle/334002/134483]  |
| 专题 | 合肥物质科学研究院_中科院合肥智能机械研究所 |
| 通讯作者 | Biao Yu |
| 作者单位 | 中国科学院合肥物质科学研究院 |
| 推荐引用方式 GB/T 7714 | Chen Hua,Runxin Niu,Chunmao Jiang,et al. Efficient and High-Fidelity Mobility Prediction for Unmanned Ground Vehicles Based on Gaussian Sampled Terrain and Enhanced Neural Network[J]. IEEE Robotics and Automation Letters,2023. |
| APA | Chen Hua,Runxin Niu,Chunmao Jiang,Biao Yu,Hui Zhu,&Bichun Li.(2023).Efficient and High-Fidelity Mobility Prediction for Unmanned Ground Vehicles Based on Gaussian Sampled Terrain and Enhanced Neural Network.IEEE Robotics and Automation Letters. |
| MLA | Chen Hua,et al."Efficient and High-Fidelity Mobility Prediction for Unmanned Ground Vehicles Based on Gaussian Sampled Terrain and Enhanced Neural Network".IEEE Robotics and Automation Letters (2023). |
入库方式： OAI收割
来源：合肥物质科学研究院
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