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Obstacle detection by a forward looking sonar integrated in an autonomous underwater vehicle

机译:通过集成在自动水下航行器中的前视声纳进行障碍物检测

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Autonomous underwater vehicles (AUV) by nature operate in partially unknown environments. Any obstacle lying in the path of the vehicle is a potential mission-terminating threat. Inclusion of a forward looking sensor would provide valuable information to the AUV. Threat assessment and navigation plans would use this information in order to avoid obstacles. Any such system should meet the requirements of an embedded autonomous system, that is small size and low power consumption. The obstacle detection system is to be integrated in the AUV via a common interface protocol. It is the intent of this paper to explore one possible solution to implementing such an obstacle detection system. The system used in this project is a forward looking sonar (FLS). This sonar system is a commercially available unit modified for performing obstacle detection tasks. With less than 4 W total power consumption this sonar can be integrated in an AUV. The small volume of the system allows easy placement in existing small AUV designs. The sonar control software is implementing in DOS on a PC/104 486 CPU. Filtered decision information is presented to the control logic of the existing AUV through a standard interface type (Lontalk network). A grid occupancy search method is used to detect the closest object in the vehicle's path. The region forward of the FLS is sub-divided into various cells. The cells are filled with the raw intensity data collected from the FLS sensor. For each filled cell, a cell signature is computed. The maximum signature cell is extracted from the grid. This cell contains transformed target information such as, range, bearing to target, and cell signature. The scanning scheme performs a first sweep at a short range for a quick detection of close targets, followed by a second sweep at a medium range. Cell signature definition and cell mapping are the research efforts associated with this paper. Experiments are performed on a moving platform, with the ultimate goal of testing the detection system integrated in a small AUV. This low-cost obstacle detection system can be easily attached to the existing FAU platforms, greatly improving the system safety and reliability of an AUV operation in high threat areas.
机译:本质上,自主水下航行器(AUV)在部分未知的环境中运行。车辆路径上的任何障碍物均可能导致任务终止威胁。包含前瞻性传感器将为AUV提供有价值的信息。威胁评估和导航计划将使用此信息来避免障碍。任何此类系统都应满足嵌入式自治系统的要求,即体积小,功耗低。障碍物检测系统将通过通用接口协议集成到AUV中。本文的目的是探索实现这种障碍物检测系统的一种可能的解决方案。该项目中使用的系统是前视声纳(FLS)。该声纳系统是一种可商购的单元,经过改装可以执行障碍物检测任务。该声纳的总功耗不到4 W,可以集成到AUV中。系统的体积小,可以轻松地放置在现有的小型AUV设计中。声纳控制软件正在PC / 104 486 CPU上的DOS中实现。过滤后的决策信息通过标准接口类型(Lontalk网络)呈现给现有AUV的控制逻辑。网格占用搜索方法用于检测车辆路径中最近的物体。 FLS前面的区域可细分为各种单元。用从FLS传感器收集的原始强度数据填充细胞。对于每个填充的单元格,计算单元格签名。从网格中提取最大签名单元。该单元格包含转换后的目标信息,例如范围,目标方位和单元格签名。扫描方案在短距离内执行第一次扫描以快速检测附近的目标,然后在中等范围内执行第二次扫描。细胞标记定义和细胞作图是与本文相关的研究工作。实验是在移动平台上进行的,最终目的是测试集成在小型AUV中的检测系统。这种低成本的障碍物检测系统可以轻松地连接到现有的FAU平台上,从而大大提高了AUV在高威胁区域的运行的系统安全性和可靠性。

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