Domain-adaptive lane detection for transitioning weather conditions
Lane detection is a critical task handled by autonomous vehicles to perceive their environment accurately. Ensuring robust and reliable lane detection capabilities is essential for the safety of the vehicle's operations. However, adverse weather conditions like rain can significantly impede...
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Nanyang Technological University
2024
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sg-ntu-dr.10356-1771112024-05-31T15:43:15Z Domain-adaptive lane detection for transitioning weather conditions Gibson, Gideon Thomas Soong Boon Hee School of Electrical and Electronic Engineering EBHSOONG@ntu.edu.sg Engineering Lane detection is a critical task handled by autonomous vehicles to perceive their environment accurately. Ensuring robust and reliable lane detection capabilities is essential for the safety of the vehicle's operations. However, adverse weather conditions like rain can significantly impede the performance of lane detectors. They introduce rain artifacts in images, which can distort the lane features, making them more difficult to distinguish. Rain also causes road surfaces to be more reflective to light, distorting much of the markings on the road, further causing a greater hindrance to lane detection. When it rains, the road surface also becomes more slippery, making correct and accurate lane detection even more crucial in autonomous vehicles for their safety. Therefore, it is crucial to adapt lane detectors to perform reliably in both clear and rainy conditions. Bachelor's degree 2024-05-27T03:57:49Z 2024-05-27T03:57:49Z 2024 Final Year Project (FYP) Gibson, G. T. (2024). Domain-adaptive lane detection for transitioning weather conditions. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/177111 https://hdl.handle.net/10356/177111 en A3165-231 application/pdf Nanyang Technological University |
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Engineering Gibson, Gideon Thomas Domain-adaptive lane detection for transitioning weather conditions |
description |
Lane detection is a critical task handled by autonomous vehicles to perceive their environment accurately.
Ensuring robust and reliable lane detection capabilities is essential for the safety of the vehicle's
operations. However, adverse weather conditions like rain can significantly impede the performance of
lane detectors. They introduce rain artifacts in images, which can distort the lane features, making them
more difficult to distinguish. Rain also causes road surfaces to be more reflective to light, distorting much
of the markings on the road, further causing a greater hindrance to lane detection. When it rains, the road
surface also becomes more slippery, making correct and accurate lane detection even more crucial in
autonomous vehicles for their safety. Therefore, it is crucial to adapt lane detectors to perform reliably in
both clear and rainy conditions. |
author2 |
Soong Boon Hee |
author_facet |
Soong Boon Hee Gibson, Gideon Thomas |
format |
Final Year Project |
author |
Gibson, Gideon Thomas |
author_sort |
Gibson, Gideon Thomas |
title |
Domain-adaptive lane detection for transitioning weather conditions |
title_short |
Domain-adaptive lane detection for transitioning weather conditions |
title_full |
Domain-adaptive lane detection for transitioning weather conditions |
title_fullStr |
Domain-adaptive lane detection for transitioning weather conditions |
title_full_unstemmed |
Domain-adaptive lane detection for transitioning weather conditions |
title_sort |
domain-adaptive lane detection for transitioning weather conditions |
publisher |
Nanyang Technological University |
publishDate |
2024 |
url |
https://hdl.handle.net/10356/177111 |
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1800916252163571712 |