加州理工学院的模拟VLSI运动项目

J. Kramer, G. Indiveri, C. Koch
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引用次数: 10

摘要

我们提出了不同的紧凑型模拟VLSI运动传感器,计算大范围内光刺激的一维速度,适合集成在焦平面阵列中。它们已经过广泛的测试和优化,在不同的光照条件下具有强大的性能。由于它们的输出信号仅弱依赖于对比度,它们直接从图像中提取光流数据。这种传感器的焦平面阵列对于执行移动机器人或车辆导航任务的单芯片系统的应用特别有趣,在这些系统中,轻量化、低功耗和实时处理至关重要。几个基于这种速度传感器的单片运动处理系统已经建立和测试。本文介绍了三种芯片,分别用于确定扩展焦点、估计接触时间和检测运动不连续点。前两个系统是专门为车辆导航任务设计的。该应用领域的选择允许我们对光流场进行先验假设,从而简化了系统的结构并提高了它们的整体性能。运动不连续检测系统可以更广泛地用于基于其相对于相机的不同域的速度来分割图像。对于静态环境中自主系统的自我运动情况下的背景前景分离尤其有用。给出了三种系统的测试结果,并对其性能进行了评价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analog VLSI motion projects at Caltech
We present different compact analog VLSI motion sensors that compute the 1-D velocity of optical stimuli over a large range and are suitable for integration in focal plane arrays. They have been extensively tested and optimized for robust performance under varying light conditions. Since their output signals are only weakly dependent on contrast, they directly extract optical flow data from an image. Focal plane arrays of such sensors are particularly interesting for application in single-chip systems that perform navigation tasks for moving robots or vehicles, where light weight, low power consumption, and real-time processing are crucial. Several monolithic motion-processing systems based on such velocity sensors have been built and tested. We describe here three chips, designed for the determination of the focus of expansion, the estimation of the time to contact, and the detection of motion discontinuities respectively. The first two systems have been specifically designed for vehicle navigation tasks. The choice of this application domain allows us to make a priori assumptions about the optical flow field that simplifies the structure of the systems and improves their overall performance. The motion-discontinuity-detection system can be more generally used to segment images based on the velocities of its different domains with respect to the camera. It is particularly useful for background-foreground segregation in the case of ego-motion of an autonomous system in a static environment. Tests results of the three systems are presented and their performance is evaluated.
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