Scenario Engineering for Autonomous Transportation: A New Stage in Open-Pit Mines | |
Teng, Siyu1,2; Li, Xuan3; Li, Yuchen1,2; Li, Lingxi4; Zhe, Xuanyuan5; Ai, Yunfeng6; Chen, Long7,8,9,10,11 | |
刊名 | IEEE TRANSACTIONS ON INTELLIGENT VEHICLES |
2024-03-01 | |
卷号 | 9期号:3页码:4394-4404 |
关键词 | Transportation Feature extraction Robustness Machinery Minerals Pipelines Artificial intelligence Autonomous transportation intelligent transportation system parallel mining parallel system theory |
ISSN号 | 2379-8858 |
DOI | 10.1109/TIV.2024.3373495 |
通讯作者 | Zhe, Xuanyuan(zhexuanyuan@uic.edu.cn) ; Ai, Yunfeng(aiyunfeng@ucas.ac.cn) ; Chen, Long(long.chen@ia.ac.cn) |
英文摘要 | In recent years, open-pit mining has seen significant advancement, the cooperative operation of various specialized machinery substantially enhancing the efficiency of mineral extraction. However, the harsh environment and complex conditions in open-pit mines present substantial challenges for the implementation of autonomous transportation systems. This research introduces a novel paradigm that integrates Scenario Engineering (SE) with autonomous transportation systems to significantly improve the trustworthiness, robustness, and efficiency in open-pit mines by incorporating the four key components of SE, including Scenario Feature Extractor, Intelligence and Index, Calibration and Certification, and Verification and Validation. This paradigm has been validated in two famous open-pit mines, the experiment results demonstrate marked improvements in robustness, trustworthiness, and efficiency. By enhancing the capacity, scalability, and diversity of autonomous transportation, this paradigm fosters the integration of SE and parallel driving and finally propels the achievement of the '6S' objectives. |
资助项目 | National Natural Science Foundation of China |
WOS关键词 | INTELLIGENCE ; VEHICLES |
WOS研究方向 | Computer Science ; Engineering ; Transportation |
语种 | 英语 |
出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
WOS记录号 | WOS:001214544700008 |
资助机构 | National Natural Science Foundation of China |
内容类型 | 期刊论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/58333] |
专题 | 多模态人工智能系统全国重点实验室_医疗机器人 |
通讯作者 | Zhe, Xuanyuan; Ai, Yunfeng; Chen, Long |
作者单位 | 1.Hong Kong Baptist Univ, Kowloon, Hong Kong 999077, Peoples R China 2.BNU HKBU UIC, Zhuhai 519085, Peoples R China 3.Peng Cheng Lab, Dept Math & Theories, Shenzhen 518000, Peoples R China 4.Purdue Univ Indianapolis IUPUI, Purdue Sch Engn & Technol, Indianapolis, IN 46202 USA 5.BNU HKBU UIC, Guangdong Prov Key Lab IRADS, Zhuhai 519087, Peoples R China 6.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 7.Chinese Acad Sci, State Key Lab Multimodal Artificial Intelligence S, Beijing 100190, Peoples R China 8.Chinese Acad Sci, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 9.WAYTOUS Inc, Beijing 100083, Peoples R China 10.Guangdong Lab Artificial Intelligence & Digital Ec, Shenzhen 518107, Peoples R China |
推荐引用方式 GB/T 7714 | Teng, Siyu,Li, Xuan,Li, Yuchen,et al. Scenario Engineering for Autonomous Transportation: A New Stage in Open-Pit Mines[J]. IEEE TRANSACTIONS ON INTELLIGENT VEHICLES,2024,9(3):4394-4404. |
APA | Teng, Siyu.,Li, Xuan.,Li, Yuchen.,Li, Lingxi.,Zhe, Xuanyuan.,...&Chen, Long.(2024).Scenario Engineering for Autonomous Transportation: A New Stage in Open-Pit Mines.IEEE TRANSACTIONS ON INTELLIGENT VEHICLES,9(3),4394-4404. |
MLA | Teng, Siyu,et al."Scenario Engineering for Autonomous Transportation: A New Stage in Open-Pit Mines".IEEE TRANSACTIONS ON INTELLIGENT VEHICLES 9.3(2024):4394-4404. |
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