Adjacent Lane Detection and Lateral Vehicle Distance Measurement Using Vision-Based Neuro-Fuzzy Approaches
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| Format: | Artículo científico |
| Langue: | en |
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Universidad Nacional Autónoma de México
2013
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| _version_ | 1876455591997603840 |
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| author | C. F. Wu |
| author_facet | C. F. Wu |
| contents | Adjacent Lane Detection and Lateral Vehicle Distance Measurement Using Vision-Based Neuro-Fuzzy Approaches C. F. Wu C. J. Lin H. Y. Lin H. Chung Ingeniería neuro Lane detection fuzzy networks distance measurement The aim of this article attempts to propose an advanced design of driver assistance system which can provide the driver advisable information about the adjacent lanes and approaching lateral vehicles. The experimental vehicle has a camera mounted at the left side rear view mirror which captures the images of adjacent lane. The detection of lane lines is implemented with methods based on image processing techniques. The candidates for lateral vehicle are explored with lane-based transformation, and each one is verified with the characteristics of its length, width, time duration, and height. Finally, the distances of lateral vehicles are estimated with the well-trained recurrent functional neuro-fuzzy network. The system is tested with nine video sequences captured when the vehicle is driving on Taiwan’s highway, and the experimental results show it works well for different road conditions and for multiple vehicles. 2013 artículo científico 1665-6423 https://www.redalyc.org/articulo.oa?id=47426225009 en http://www.redalyc.org/revista.oa?id=474 Journal of Applied Research and Technology application/pdf Universidad Nacional Autónoma de México Journal of Applied Research and Technology (México) Num.2 Vol.11 |
| format | Artículo científico |
| id | redalyc_47426225009 |
| institution | Redalyc |
| language | en |
| publishDate | 2013 |
| publisher | Universidad Nacional Autónoma de México |
| spellingShingle | Adjacent Lane Detection and Lateral Vehicle Distance Measurement Using Vision-Based Neuro-Fuzzy Approaches C. F. Wu Ingeniería neuro Lane detection fuzzy networks distance measurement Adjacent Lane Detection and Lateral Vehicle Distance Measurement Using Vision-Based Neuro-Fuzzy Approaches C. F. Wu C. J. Lin H. Y. Lin H. Chung Ingeniería neuro Lane detection fuzzy networks distance measurement The aim of this article attempts to propose an advanced design of driver assistance system which can provide the driver advisable information about the adjacent lanes and approaching lateral vehicles. The experimental vehicle has a camera mounted at the left side rear view mirror which captures the images of adjacent lane. The detection of lane lines is implemented with methods based on image processing techniques. The candidates for lateral vehicle are explored with lane-based transformation, and each one is verified with the characteristics of its length, width, time duration, and height. Finally, the distances of lateral vehicles are estimated with the well-trained recurrent functional neuro-fuzzy network. The system is tested with nine video sequences captured when the vehicle is driving on Taiwan’s highway, and the experimental results show it works well for different road conditions and for multiple vehicles. 2013 artículo científico 1665-6423 https://www.redalyc.org/articulo.oa?id=47426225009 en http://www.redalyc.org/revista.oa?id=474 Journal of Applied Research and Technology application/pdf Universidad Nacional Autónoma de México Journal of Applied Research and Technology (México) Num.2 Vol.11 |
| title | Adjacent Lane Detection and Lateral Vehicle Distance Measurement Using Vision-Based Neuro-Fuzzy Approaches |
| topic | Ingeniería neuro Lane detection fuzzy networks distance measurement |
| url | https://www.redalyc.org/articulo.oa?id=47426225009 |