Fast-ICA Based Lane Detection Method for Autonomous Vehicles
Lane detection is an important process in autonomous vehicle systems. Noise in the image, such as object shadows and terminating lane lines, make lane detection difficult. This study proposes a Convolutional Neural Network architecture with a dimension reduction method that has not been used before...
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| Published in: | 2022 26th International Conference Electronics pp. 1 - 6 |
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| Main Authors: | , |
| Format: | Conference Proceeding |
| Language: | English |
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IEEE
13-06-2022
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| Abstract | Lane detection is an important process in autonomous vehicle systems. Noise in the image, such as object shadows and terminating lane lines, make lane detection difficult. This study proposes a Convolutional Neural Network architecture with a dimension reduction method that has not been used before in lane detection. The proposed method has been tested with the open-source TuSimple dataset. The results showed that the proposed Fast-Independent Component Analysis based model training improved performance in lane detection and reduced the mean percent error by 42.2%. |
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| AbstractList | Lane detection is an important process in autonomous vehicle systems. Noise in the image, such as object shadows and terminating lane lines, make lane detection difficult. This study proposes a Convolutional Neural Network architecture with a dimension reduction method that has not been used before in lane detection. The proposed method has been tested with the open-source TuSimple dataset. The results showed that the proposed Fast-Independent Component Analysis based model training improved performance in lane detection and reduced the mean percent error by 42.2%. |
| Author | Zengin, Aydin Tarik Dogru, Hasibe Busra |
| Author_xml | – sequence: 1 givenname: Hasibe Busra surname: Dogru fullname: Dogru, Hasibe Busra organization: Istanbul Sabahattin Zaim University,Department of Computer Engineering,Istanbul,Turkey – sequence: 2 givenname: Aydin Tarik surname: Zengin fullname: Zengin, Aydin Tarik email: tarik.zengin@izu.edu.tr organization: Istanbul Sabahattin Zaim University,Department of Computer Engineering,Istanbul,Turkey |
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| Snippet | Lane detection is an important process in autonomous vehicle systems. Noise in the image, such as object shadows and terminating lane lines, make lane... |
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| SubjectTerms | Autonomous vehicles Deep learning Independent component analysis Lane detection |
| Title | Fast-ICA Based Lane Detection Method for Autonomous Vehicles |
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