Real-time Lane Detection Based on Image Edge Feature and Hough Transform
Background and Objectives: Lane detection systems are an important part of safe and secure driving by alerting the driver in the event of deviations from the main lane. Lane detection can also save the lifes of car occupants if they deviate from the road due to driver distraction.Methods: In this pa...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Shahid Rajaee Teacher Training University
2021-07-01
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| Series: | Journal of Electrical and Computer Engineering Innovations |
| Subjects: | |
| Online Access: | https://jecei.sru.ac.ir/article_1543_77884572375b044967d4bae7ef876d51.pdf |
| _version_ | 1818197077849538560 |
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| author | A. Fallah A. Soliemani H. Khosravi |
| author_facet | A. Fallah A. Soliemani H. Khosravi |
| author_sort | A. Fallah |
| collection | DOAJ |
| description | Background and Objectives: Lane detection systems are an important part of safe and secure driving by alerting the driver in the event of deviations from the main lane. Lane detection can also save the lifes of car occupants if they deviate from the road due to driver distraction.Methods: In this paper, a real-time and illumination invariant lane detection method on high-speed video images is presented in three steps. In the first step, the necessary preprocessing including noise removal, image conversion from RGB colour to grey and the binarizing input image is done. Then, a polygon area as the region of interest is chosen in front of the vehicle to increase the processing speed. Finally, edges of the image in the region of interest are obtained with edge detection algorithm and then lanes on both sides of the vehicle are identified by using the Hough transform.Results: The implementation of the proposed method was performed on the IROADS database. The proposed method works well under different daylight conditions, such as sunny, snowy or rainy days and inside the tunnels. Implementation results show that the proposed algorithm has an average processing time of 28 milliseconds per frame and detection accuracy of 96.78%.Conclusion: In this paper a straightforward method to identify road lines using the edge feature is described on high-speed video images. ======================================================================================================Copyrights©2021 The author(s). This is an open access article distributed under the terms of the Creative Commons Attribution (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, as long as the original authors and source are cited. No permission is required from the authors or the publishers.====================================================================================================== |
| first_indexed | 2024-12-12T01:44:15Z |
| format | Article |
| id | doaj.art-309a3a5aac034f6392defaf9e67e6427 |
| institution | Directory Open Access Journal |
| issn | 2322-3952 2345-3044 |
| language | English |
| last_indexed | 2024-12-12T01:44:15Z |
| publishDate | 2021-07-01 |
| publisher | Shahid Rajaee Teacher Training University |
| record_format | Article |
| series | Journal of Electrical and Computer Engineering Innovations |
| spelling | doaj.art-309a3a5aac034f6392defaf9e67e64272022-12-22T00:42:37ZengShahid Rajaee Teacher Training UniversityJournal of Electrical and Computer Engineering Innovations2322-39522345-30442021-07-019219320210.22061/jecei.2021.7659.4181543Real-time Lane Detection Based on Image Edge Feature and Hough TransformA. Fallah0A. Soliemani1H. Khosravi2Department of Electronics, Faculty of Electrical Engineering, Shahrood University of Technology, Shahrood, IranDepartment of Electronics, Faculty of Electrical Engineering, Shahrood University of Technology, Shahrood, IranDepartment of Electronics, Faculty of Electrical Engineering, Shahrood University of Technology, Shahrood, IranBackground and Objectives: Lane detection systems are an important part of safe and secure driving by alerting the driver in the event of deviations from the main lane. Lane detection can also save the lifes of car occupants if they deviate from the road due to driver distraction.Methods: In this paper, a real-time and illumination invariant lane detection method on high-speed video images is presented in three steps. In the first step, the necessary preprocessing including noise removal, image conversion from RGB colour to grey and the binarizing input image is done. Then, a polygon area as the region of interest is chosen in front of the vehicle to increase the processing speed. Finally, edges of the image in the region of interest are obtained with edge detection algorithm and then lanes on both sides of the vehicle are identified by using the Hough transform.Results: The implementation of the proposed method was performed on the IROADS database. The proposed method works well under different daylight conditions, such as sunny, snowy or rainy days and inside the tunnels. Implementation results show that the proposed algorithm has an average processing time of 28 milliseconds per frame and detection accuracy of 96.78%.Conclusion: In this paper a straightforward method to identify road lines using the edge feature is described on high-speed video images. ======================================================================================================Copyrights©2021 The author(s). This is an open access article distributed under the terms of the Creative Commons Attribution (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, as long as the original authors and source are cited. No permission is required from the authors or the publishers.======================================================================================================https://jecei.sru.ac.ir/article_1543_77884572375b044967d4bae7ef876d51.pdflane detectionreal-time processingregion of interesthough transformedge detection |
| spellingShingle | A. Fallah A. Soliemani H. Khosravi Real-time Lane Detection Based on Image Edge Feature and Hough Transform Journal of Electrical and Computer Engineering Innovations lane detection real-time processing region of interest hough transform edge detection |
| title | Real-time Lane Detection Based on Image Edge Feature and Hough Transform |
| title_full | Real-time Lane Detection Based on Image Edge Feature and Hough Transform |
| title_fullStr | Real-time Lane Detection Based on Image Edge Feature and Hough Transform |
| title_full_unstemmed | Real-time Lane Detection Based on Image Edge Feature and Hough Transform |
| title_short | Real-time Lane Detection Based on Image Edge Feature and Hough Transform |
| title_sort | real time lane detection based on image edge feature and hough transform |
| topic | lane detection real-time processing region of interest hough transform edge detection |
| url | https://jecei.sru.ac.ir/article_1543_77884572375b044967d4bae7ef876d51.pdf |
| work_keys_str_mv | AT afallah realtimelanedetectionbasedonimageedgefeatureandhoughtransform AT asoliemani realtimelanedetectionbasedonimageedgefeatureandhoughtransform AT hkhosravi realtimelanedetectionbasedonimageedgefeatureandhoughtransform |