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Progressive image compression and transmission with region of interest in underwater robotics

机译:水下机器人兴趣区域的逐步图像压缩和传输

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The increasing demand for underwater robotic intervention systems around the world in several application domains requires more versatile and inexpensive systems. By using a wireless communication system, supervised semi-autonomous robots have freedom of movement and, at the same time, allows the operator to get camera feedback and supervise the intervention. Moreover, the limited and varying bandwidth of underwater radio frequency (RF) and underwater acoustic modem channels is a major obstacle. This paper proposes the use of progressive (embedded) image compression and region of interest (ROI) for the design of an underwater image sensor to be installed in an Autonomous Underwater Vehicle, specially when there are constraints on the available bandwidth, allowing a more agile data exchange between the vehicle and a human operator supervising the underwater intervention.
机译:在若干应用领域的世界各地对水下机器人干预系统的需求日益增加需要更加多功能和廉价的系统。通过使用无线通信系统,监督半自动机器人具有移动自由,同时允许操作员获得相机反馈并监督干预。此外,水下射频(RF)和水下声学调制解调器通道的有限和变化的带宽是主要障碍。本文提出了使用渐进(嵌入式)图像压缩和感兴趣区域(ROI)来设计要安装在自主水下车辆中的水下图像传感器,特别是当有可用带宽上有限制时,允许更敏捷车辆之间的数据交换和人类运营商监督水下干预。

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