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Found 4 papers, 2 papers with code
How to deal with glare for improved perception of Autonomous Vehicles
In this paper, we investigate various glare reduction techniques, including the proposed saturated pixel-aware glare reduction technique for improved performance of the computer vision (CV) tasks employed by the perception layer of AVs.
GAANet: Ghost Auto Anchor Network for Detecting Varying Size Drones in Dark
To overcome those limitations and improve the detection accuracy at night, we propose an object detector called Ghost Auto Anchor Network (GAANet) for infrared (IR) images.
SafeSpace MFNet: Precise and Efficient MultiFeature Drone Detection Network
For optimal bird detection, MFNet-M (Ablation study 2) achieves an impressive precision of 99. 8\%, while for UAV detection, MFNet-L (Ablation study 2) achieves a precision score of 97. 2\%.
TF-Net: Deep Learning Empowered Tiny Feature Network for Night-time UAV Detection
The results showed better performance for the proposed TF-Net in terms of precision, IoU, GFLOPS, model size, and FPS compared to the YOLOv5s.
