Attention transfer from human to neural networks for road object detection in winter
Abstract As an essential feature of autonomous road vehicles, obstacle detection must be executed on a real‐time onboard platform with high accuracy. Cameras are still the most commonly used sensors in autonomous driving. Most detections using cameras are based on convolutional neural networks. In t...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-11-01
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| Series: | IET Image Processing |
| Online Access: | https://doi.org/10.1049/ipr2.12562 |