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引用次数: 3

摘要

在视视觉为恢复问题的传统范式下,视觉拦截只是运动构造模块的另一种应用。然而,三维重建的固有困难已经延迟了任何实时应用。作者在主动定性视觉范式下提供了一个健壮的解决方案。从图像强度函数中得到agent和目标的运动特性。基于这些相对信息,他们提出了一种控制策略,在任何时刻实时决定智能体的速度是增加还是减少,从而引导智能体拦截目标。因此,视觉拦截问题可以通过简单的计算来解决,而不需要通信。
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The geometry of visual interception
Under the traditional paradigm of considering vision as a recovery problem, visual interception is just another application of the structure-from-motion module. However, the inherent difficulties of three-dimensional reconstruction have delayed any real-time applications. The authors offer a robust solution under the active qualitative vision paradigm. From the image intensity function, they obtain the locomotive intrinsics of the agent and the target. Based on this relative information, they present a control strategy that decides in real time whether the velocity of the agent should be increased or decreased at any time instant, thus guiding the agent to intercept the target. The problem of visual interception can thus be solved by simple computation without correspondence.<>
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