A Front Water Recognition Method Based on Image Data for Off-Road Intelligent Vehicle
Off-road intelligent vehicle is an important application about Internet of Vehicles technology used in the transportation field, and the front obstacle recognition method is the key technology for off-road intelligent vehicle. In this paper, based on smart data aggregation inspired paradigm of IoT a...
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2020/2949170 |
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| _version_ | 1832566512402038784 |
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| author | Haiwei Wang Yibing Zhao |
| author_facet | Haiwei Wang Yibing Zhao |
| author_sort | Haiwei Wang |
| collection | DOAJ |
| description | Off-road intelligent vehicle is an important application about Internet of Vehicles technology used in the transportation field, and the front obstacle recognition method is the key technology for off-road intelligent vehicle. In this paper, based on smart data aggregation inspired paradigm of IoT applications, we mainly study perception technology in vehicle networking by using image data and one symmetrical speeded-up robust features detector (SURF). By considering symmetry and image data aggregation, we found that data aggregation had the ability of providing global information for Internet of Vehicles systems. After we have built the experiment platform, the experiment results showed that this method is faster than Scale-Invariant Feature Transform algorithm in this case, which can satisfy the water detection accuracy and the real-time requirement. So, this method is effective for the water images detection with great symmetry to off-road intelligent vehicle, and it also gives a useful reference about environment perception technology and smart data aggregation inspired paradigm used in future Internet of Vehicles, intelligent vehicle, and traffic safety applications. |
| format | Article |
| id | doaj-art-e38de5ee0a23463da32c297dfd15698e |
| institution | Kabale University |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-e38de5ee0a23463da32c297dfd15698e2025-02-03T01:03:58ZengWileyJournal of Advanced Transportation0197-67292042-31952020-01-01202010.1155/2020/29491702949170A Front Water Recognition Method Based on Image Data for Off-Road Intelligent VehicleHaiwei Wang0Yibing Zhao1School of Transportation and Economic Management, Guangdong Communication Polytechnic, Guangzhou 510650, ChinaDepartment of Vehicle Engineering, Dalian University of Technology, Dalian 116024, ChinaOff-road intelligent vehicle is an important application about Internet of Vehicles technology used in the transportation field, and the front obstacle recognition method is the key technology for off-road intelligent vehicle. In this paper, based on smart data aggregation inspired paradigm of IoT applications, we mainly study perception technology in vehicle networking by using image data and one symmetrical speeded-up robust features detector (SURF). By considering symmetry and image data aggregation, we found that data aggregation had the ability of providing global information for Internet of Vehicles systems. After we have built the experiment platform, the experiment results showed that this method is faster than Scale-Invariant Feature Transform algorithm in this case, which can satisfy the water detection accuracy and the real-time requirement. So, this method is effective for the water images detection with great symmetry to off-road intelligent vehicle, and it also gives a useful reference about environment perception technology and smart data aggregation inspired paradigm used in future Internet of Vehicles, intelligent vehicle, and traffic safety applications.http://dx.doi.org/10.1155/2020/2949170 |
| spellingShingle | Haiwei Wang Yibing Zhao A Front Water Recognition Method Based on Image Data for Off-Road Intelligent Vehicle Journal of Advanced Transportation |
| title | A Front Water Recognition Method Based on Image Data for Off-Road Intelligent Vehicle |
| title_full | A Front Water Recognition Method Based on Image Data for Off-Road Intelligent Vehicle |
| title_fullStr | A Front Water Recognition Method Based on Image Data for Off-Road Intelligent Vehicle |
| title_full_unstemmed | A Front Water Recognition Method Based on Image Data for Off-Road Intelligent Vehicle |
| title_short | A Front Water Recognition Method Based on Image Data for Off-Road Intelligent Vehicle |
| title_sort | front water recognition method based on image data for off road intelligent vehicle |
| url | http://dx.doi.org/10.1155/2020/2949170 |
| work_keys_str_mv | AT haiweiwang afrontwaterrecognitionmethodbasedonimagedataforoffroadintelligentvehicle AT yibingzhao afrontwaterrecognitionmethodbasedonimagedataforoffroadintelligentvehicle AT haiweiwang frontwaterrecognitionmethodbasedonimagedataforoffroadintelligentvehicle AT yibingzhao frontwaterrecognitionmethodbasedonimagedataforoffroadintelligentvehicle |