Design of an intelligent assisted driving system for underground trackless rubber-tired vehicles based on multi-sensor data fusion
Aiming at the low intelligence level of trackless rubber-tyred vehicles in coal mines, the harsh working environment, insufficient lighting, high water mist, poor road conditions, complex road conditions and networks, and large visual blind spots of drivers, an intelligent assisted driving system ba...
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| Format: | Article |
| Language: | zho |
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Editorial Office of Safety in Coal Mines
2025-04-01
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| Series: | Meikuang Anquan |
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| Online Access: | https://www.mkaqzz.com/cn/article/doi/10.13347/j.cnki.mkaq.20241105 |
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| _version_ | 1850149815488348160 |
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| author | Wei LI Fei MENG Yu WANG Yang WEI Haixing CHENG Naibang WANG |
| author_facet | Wei LI Fei MENG Yu WANG Yang WEI Haixing CHENG Naibang WANG |
| author_sort | Wei LI |
| collection | DOAJ |
| description | Aiming at the low intelligence level of trackless rubber-tyred vehicles in coal mines, the harsh working environment, insufficient lighting, high water mist, poor road conditions, complex road conditions and networks, and large visual blind spots of drivers, an intelligent assisted driving system based on multi-sensor data fusion is designed. Firstly, the current status and trend of intelligent application of trackless rubber-tyred vehicles are analyzed; secondly, the framework structure of the multimodal data fusion intelligent assisted driving system is designed, including hardware architecture and software architecture; finally, the specific functional design of the intelligent assisted driving system is given. The test results show that the accuracy of the multimodal fusion perception algorithm of the system in obstacle recognition has reached more than 96%, and the safety of man-machine cooperative driving is improved to 99.6%. |
| format | Article |
| id | doaj-art-e7642e715fcc4ceaa607f93995e97791 |
| institution | OA Journals |
| issn | 1003-496X |
| language | zho |
| publishDate | 2025-04-01 |
| publisher | Editorial Office of Safety in Coal Mines |
| record_format | Article |
| series | Meikuang Anquan |
| spelling | doaj-art-e7642e715fcc4ceaa607f93995e977912025-08-20T02:26:46ZzhoEditorial Office of Safety in Coal MinesMeikuang Anquan1003-496X2025-04-0156420321210.13347/j.cnki.mkaq.20241105lMKAQ20241105Design of an intelligent assisted driving system for underground trackless rubber-tired vehicles based on multi-sensor data fusionWei LI0Fei MENG1Yu WANG2Yang WEI3Haixing CHENG4Naibang WANG5China Coal Xi’an Design Engineering Co., Ltd., Xi’an 710054, ChinaChina Coal Xi’an Design Engineering Co., Ltd., Xi’an 710054, ChinaChina Coal Xi’an Design Engineering Co., Ltd., Xi’an 710054, ChinaChina Coal Xi’an Design Engineering Co., Ltd., Xi’an 710054, ChinaChina Coal Energy Research Institute Co., Ltd., Xi’an 710054, ChinaSchool of Mechanical and Electrical Engineering, China University of Mining and Technology (Beijing), Beijing 100083, ChinaAiming at the low intelligence level of trackless rubber-tyred vehicles in coal mines, the harsh working environment, insufficient lighting, high water mist, poor road conditions, complex road conditions and networks, and large visual blind spots of drivers, an intelligent assisted driving system based on multi-sensor data fusion is designed. Firstly, the current status and trend of intelligent application of trackless rubber-tyred vehicles are analyzed; secondly, the framework structure of the multimodal data fusion intelligent assisted driving system is designed, including hardware architecture and software architecture; finally, the specific functional design of the intelligent assisted driving system is given. The test results show that the accuracy of the multimodal fusion perception algorithm of the system in obstacle recognition has reached more than 96%, and the safety of man-machine cooperative driving is improved to 99.6%.https://www.mkaqzz.com/cn/article/doi/10.13347/j.cnki.mkaq.20241105underground rubber-tyred trackless vehicleassisted drivingmulti-sensor data fusionintelligent warningdriver behavior monitoring |
| spellingShingle | Wei LI Fei MENG Yu WANG Yang WEI Haixing CHENG Naibang WANG Design of an intelligent assisted driving system for underground trackless rubber-tired vehicles based on multi-sensor data fusion Meikuang Anquan underground rubber-tyred trackless vehicle assisted driving multi-sensor data fusion intelligent warning driver behavior monitoring |
| title | Design of an intelligent assisted driving system for underground trackless rubber-tired vehicles based on multi-sensor data fusion |
| title_full | Design of an intelligent assisted driving system for underground trackless rubber-tired vehicles based on multi-sensor data fusion |
| title_fullStr | Design of an intelligent assisted driving system for underground trackless rubber-tired vehicles based on multi-sensor data fusion |
| title_full_unstemmed | Design of an intelligent assisted driving system for underground trackless rubber-tired vehicles based on multi-sensor data fusion |
| title_short | Design of an intelligent assisted driving system for underground trackless rubber-tired vehicles based on multi-sensor data fusion |
| title_sort | design of an intelligent assisted driving system for underground trackless rubber tired vehicles based on multi sensor data fusion |
| topic | underground rubber-tyred trackless vehicle assisted driving multi-sensor data fusion intelligent warning driver behavior monitoring |
| url | https://www.mkaqzz.com/cn/article/doi/10.13347/j.cnki.mkaq.20241105 |
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