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Estimating Distance to an Object on the Horizon Using Wave Motion

机译:使用波动估计到地平线上物体的距离

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摘要

Knowledge of the distance between a ship and other objects on the horizon has important implications for safety on the open ocean. Determining this distance can be challenging. RADAR sensors, which represent the standard solution to this problem, require a great deal of cost and power. A structure-from-motion computer vision technique is presented here to integrate known camera motion and a single pixel track on an imaged object to estimate range to that object. This approach leverages inherent wave motion of the camera platform along with a global exponentially stable observer to incrementally converge upon a range estimate. This method is detailed herein, and presented with both simulated and real-world results. This provides a passive and inexpensive solution to the open ocean ranging problem.
机译:了解船舶与地平线上其他物体之间的距离对于公海安全具有重要意义。确定该距离可能是具有挑战性的。代表该问题的标准解决方案的RADAR传感器需要大量的成本和功率。此处介绍了一种“从运动结构开始”的计算机视觉技术,用于将已知的相机运动和单个像素轨道集成到成像对象上,以估计到该对象的距离。这种方法利用了相机平台的固有波动以及全局指数稳定的观察者,以逐渐收敛于范围估计。本文详细介绍了此方法,并提供了模拟结果和实际结果。这为公海测距问题提供了一种被动且廉价的解决方案。

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