[2] [2] Campbell S , Naeem W , Irwin G W. A review onimproving the autonomy of unmanned surface vehiclesthrough intelli- gent collision avoidance manoeuvres [ J ] . Annual Reviews in Control ,2012 ,36(2) :267-283.

[4] [4] Madeo D ,Pozzebon A ,Mocenni C , et al. “ A low -cost un-manned surface vehicle for pervasive water quality monito- ring , ”[ J ] . IEEE Transactions on Instrumentation and Measurement , 2020 ,4(69) :1433- 1444.

[5] [5] Ruangpayoongsak N ,Sumroengrit J , Leanglum M.“ A float- ing waste scooper robot on water surface ,”[ C]// in IEEE 17th International Conference on Control , Automation and Systems ( ICCAS) ,2017 ,1543- 1548.

[8] [8] Long J , Shelhamer E , Darrell T. Fully convolutional net- works for semantic segmentation[ C]//IEEE Conference on Computer Vision and Pattern Recognition , Boston : IEEE , 2015 ,3431-3440.

[9] [9] Ronneberger O , Fischer P , Brox T. U-Net : Convolutional Networks for Biomedical Image Segmentation [ C ]//NA VAB N , HORNEGGER J , WELLS W , FRANGI A. ( eds) Medical Image Computing and Computer - Assisted Inter- vention - MICCAI 2015. MICCAI 2015.

[12] [12] Badrinarayanan V , Kendall A , Cipollar. SegNet : A Deep Convolutional Encoder - Decoder Architecture for I mage Segmentation[J] . IEEE Trans Pattern Anal Mach Intell. 2017 , 39(12) :2481-2495.

[13] [13] Lin T Y , Dollar P , Girshick R , et al. Feature pyramid net- works for object detection[J] . 2017 IEEE Conference on Computer Vision and Pattern Recognition( CVPR) . Honolu- lu:IEEE Press ,2017 :936-944.

[14] [14] Zhao H S , Shi J P , Qi X J , etal. Pyramid Scene Parsing Network[ C]// IEEE Conference on Computer Vision and Patte rn Recognition( CVPR) , 2017 :6230-6239.

[15] [15] Chen L C , George P , Kokkinos I ,et al. 2018c. DeepLab : semantic image segmentation with deep convolutional net , atrous convolution , and fully connected CRFs [ J ] . IEEE Trans. Pattern Anal. Mach. Intell. 40 : 834- 848.

[17] [17] Howard A G , Zhu M , Chen B , et al. Mobilenets : Efficient convolutional neural networks for mobile vision applications [ C]//IEEE Conference on Computer Vision and Pattern Recognition ,Hawaii :IEEE ,2017 :1-9.

[18] [18] Sandler M ,Howard A ,Zhu M ,et al. MobileNet V2 :Inverted residuals and linear bottlenecks[ C]//IEEE Conference on Computer Vision and Pattern Recognition , Salt Lake City : IEEE ,2018 :4510-4520.

[19] [19] Cheng Y ,Jiang M , Zhu J , et al. Are We Ready for Un- manned Surface Vehicles in Inland Waterw ays? The US- VInland Multisensor Dataset and Benchmark[J] . Robotics and Automation Letters , 2021 ,6(2) :3964-3970.