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...
محفوظ في:
| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | |
| التنسيق: | Final Year Project |
| اللغة: | English |
| منشور في: |
Nanyang Technological University
2024
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| الموضوعات: | |
| الوصول للمادة أونلاين: | https://hdl.handle.net/10356/177111 |
| الوسوم: |
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| الملخص: | 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. |
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