ARTÍCULO
TITULO

A Lightweight Sea Surface Object Detection Network for Unmanned Surface Vehicles

Zhangqi Yang    
Ye Li    
Bo Wang    
Shuoshuo Ding and Peng Jiang    

Resumen

For unmanned surface vehicles (USVs), perception and control are commonly performed in embedded devices with limited computing power. Sea surface object detection can provide sufficient information for USVs, while most algorithms have poor real-time performance on embedded devices. To achieve real-time object detection on the USV platform, this paper designs a lightweight object detection network based on YOLO v5. In our work, an improved ShuffleNet v2 based on the attention mechanism was adopted as a backbone network to extract features. The depth-wise separable convolution module was introduced to rebuild the neck network. Additionally, the fusion method was changed from Concat to Add to optimize the feature fusion module. Experiments show that the proposed method reached 32.64 frames per second (FPS) on the Nvidia Jetson AGX Xavier and achieved a mean average precision (mAP) of 93.1% and 93.9% on our dataset and Singapore Maritime Dataset, respectively. Moreover, the number of model parameters of the proposed network was only 25% of that of YOLO v5n. The proposed network achieves a better balance between speed and accuracy, which is more suitable for detecting sea surface objects for USVs.

 Artículos similares

       
 
Xinbo Huang, Zhiwei Song, Chao Ji, Ye Zhang and Luya Yang    
Different types of surface defects will occur during the production of strip steel. To ensure production quality, it is essential to classify these defects. Our research indicates that two main problems exist in the existing strip steel surface defect cl... ver más
Revista: Algorithms

 
Chaolei Chen, Huaishu Hou, Mingxu Su, Shiwei Zhang, Chaofei Jiao and Zhifan Zhao    
To conduct the ultrasonic weld inspection of polyethylene pipes, it is necessary to use low-frequency transducers due to the high sound energy attenuation of polyethylene. However, one of the challenges in this process is that the blind zone of the ultra... ver más
Revista: Applied Sciences

 
Alessandro Zanarini    
Spatially dense operative deflection shapes and receptances, acquired in broad frequency bands, increase the detail in the spatial and frequency domains of the responses of parts in actual dynamic loading, manufacturing and mounting conditions. This work... ver más
Revista: Acoustics

 
Weijun Wang, Chongfeng Zhang, Chenkun Qi, Lijia Fu and Shigang Wang    
The docking mechanism is the key system for realizing the lunar-orbit docking mission of two spacecraft, which needs to have both capture correction and connection hold functions. The different stiffness requirements between the capture correction proces... ver más
Revista: Aerospace

 
Matthias Kleinert, Oliver Ohneiser, Hartmut Helmke, Shruthi Shetty, Heiko Ehr, Mathias Maier, Susanne Schacht and Hanno Wiese    
The information air traffic controllers (ATCos) communicate via radio telephony is valuable for digital assistants to provide additional safety. Yet, ATCos have to enter this information manually. Assistant-based speech recognition (ABSR) has proven to b... ver más
Revista: Aerospace