Enhancing road object detection in rainy conditions with generative adversarial networks
With the development of autonomous vehicle driving, object detection plays a great role in the application. Thus, the effectiveness and stability of object detector are significant. However, under some bad weather like rain, object detection system relied on camera images does not work well because...
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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/10356/158410 |