Lane-aware deep learning for road lane detection in rain (part 2)
We presented a solution for lane recognition in rainy weather conditions in our study that incorporates a self-attention module into an ENet model architecture. We concentrate on specific weather conditions, such as rain, because they have received less attention as a result of the numerous ob...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2022
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| Online Access: | https://hdl.handle.net/10356/157438 |