Scenario Engineering for Autonomous Transportation: A New Stage in Open-Pit Mines
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arXiv
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| Autores principales: | , , , , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| _version_ | 1866913362288312320 |
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| author | Teng, Siyu Li, Xuan Li, Yucheng Xuanyuan, Zhe Ai, Yunfeng Chen, Long |
| author_facet | Teng, Siyu Li, Xuan Li, Yucheng Xuanyuan, Zhe Ai, Yunfeng Chen, Long |
| contents | 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 (I&I), Calibration and Certification (C&C), and Verification and Validation (V&V). 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2405_15772 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Scenario Engineering for Autonomous Transportation: A New Stage in Open-Pit Mines Teng, Siyu Li, Xuan Li, Yucheng Xuanyuan, Zhe Ai, Yunfeng Chen, Long Robotics Artificial Intelligence 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 (I&I), Calibration and Certification (C&C), and Verification and Validation (V&V). 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. |
| title | Scenario Engineering for Autonomous Transportation: A New Stage in Open-Pit Mines |
| topic | Robotics Artificial Intelligence |
| url | https://arxiv.org/abs/2405.15772 |