SDFA-Net is proposed, an end-to-end fisheye image and LiDAR point cloud fusion framework for manhole cover detection and diagnosis in wearable mobile mapping scenarios that achieves higher detection accuracy while maintaining a smaller overall model size and an inference speed of 35 FPS.
Qiuping Lan, Shu-Wen Hu, Jia Li et al.· Remote Sensing· 0 citations
Object detection in unmanned aerial vehicle (UAV)-based visual sensing is important for aerial monitoring and intelligent perception. However, it remains difficult because camera-captured aerial images often contain small targets, cluttered backgrounds, occlusion, and limited edge-computing resources. We propose LFC-YO...
Bin Chen, Qiang Fan, Xiao-Xiong Zhang et al.· Italian National Conference...· 0 citations
The intelligent era is fast developing to promote complex services running in the cloud. In this context, Data traffic with heterogeneous transport protocols is intertwined in the cloud centers, especially the reactive protocols and proactive protocols, hurting the fairness of data transmission. In this paper, we propo...
Shan Huang, Dinghuang Hu, Gen Zhang et al.· Fall Joint Computer Conferen...· 0 citations
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