| Prediction of brake pedal aperture for automatic wheel loader based on deep learning | |
| Shi, Junren1; Sun, Dongye1; Hu, Minghui1; Liu, Sheng2; Kan, Yingzhe1; Chen, Ruibo1; Ma, Ke1 | |
| 2020-11 | |
| 发表期刊 | AUTOMATION IN CONSTRUCTION
 |
| ISSN | 0926-5805 |
| EISSN | 1872-7891 |
| 卷号 | 119 |
| 摘要 | Complex and changing driving environments not only affect the operating requirements of automatic wheel loader but also threaten its driving safety. Therefore, the automatic wheel loader must adopt appropriate braking strategies to realize accurate control of the brake pedal aperture under certain operating conditions. For the V-shaped operation mode of wheel loader, the operator's operation specification is evaluated using three characteristics: operation time, driving distance and friction work. By combining the driving data of experienced drivers in different driving environments with deep learning, a deep long short-term memory network was constructed to predict the brake pedal aperture for different braking types. The proposed anthropomorphic control method that combines driving data and deep learning can be used to predict the aperture value of the wheel loader brake pedal in complex driving environments. This would enable the braking process to conform to the braking decisions of experienced drivers and thereby meet the operational requirements while ensuring driving safety. |
| 关键词 | Automatic drive Wheel loader Deep learning Brake pedal aperture Prediction |
| DOI | 10.1016/j.autcon.2020.103313 |
| 收录类别 | SCIE |
| 语种 | 英语 |
| WOS研究方向 | Construction & Building Technology ; Engineering |
| WOS类目 | Construction & Building Technology ; Engineering, Civil |
| WOS记录号 | WOS:000579045500013 |
| 出版者 | ELSEVIER |
| 原始文献类型 | Article |
| 出版地 | AMSTERDAM |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | https://ir.cqcet.edu.cn/handle/39TD4454/3549 |
| 专题 | 重庆电子科技职业大学 |
| 作者单位 | 1.Chongqing Univ, State Key Lab Mech Transmiss, Chongqing 400044, Peoples R China; 2.Chongqing Coll Elect Engn, Intelligent Mfg & Automobile Sch, Chongqing 401331, Peoples R China |
| 推荐引用方式 GB/T 7714 | Shi, Junren,Sun, Dongye,Hu, Minghui,et al. Prediction of brake pedal aperture for automatic wheel loader based on deep learning[J]. AUTOMATION IN CONSTRUCTION,2020,119. |
| APA | Shi, Junren.,Sun, Dongye.,Hu, Minghui.,Liu, Sheng.,Kan, Yingzhe.,...&Ma, Ke.(2020).Prediction of brake pedal aperture for automatic wheel loader based on deep learning.AUTOMATION IN CONSTRUCTION,119. |
| MLA | Shi, Junren,et al."Prediction of brake pedal aperture for automatic wheel loader based on deep learning".AUTOMATION IN CONSTRUCTION 119(2020). |
| 条目包含的文件 | 条目无相关文件。 | |||||
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