A visual sensing system integrating various sensory information

1.提出了一种通过测量充液圆柱体内外壁面平均压力来估算自运动角速度大小的新方法。对假设流体静力条件下的理论进行了讨论，并通过数值模拟和实验结果进行了验证.智能图像感测系统希望能够相对于目标对象的运动来控制其注视方向。为了实现注视控制，我们制定了一个类似于人眼运动的控制标准：扫视和平滑追踪。实验结果表明，我们的视线控制方法的有效性。在这些实验中，我们的系统显示了智能传感系统的一个重要特性，即。e.动态选择最佳操作模式进行测量的能力。3.我们提出并演示了一种新的扩展的实时和灵活的智能视觉传感系统，该系统能够集成视觉传感信息与角速度信息，并同时通过电子和机械手段控制摄像机的注视方向。角速度传感器由三个振动陀螺组成，能够检测角速度的三个分量。实验结果表明，在陀螺稳定条件下，该系统具有良好的固定和运动目标检测性能。未来的智能视觉传感系统不仅要能补偿机器运动引起的湍流，而且要能主动地利用湍流作为识别外部世界的必要信息。因此，这种先进的信号处理将成为更重要的技术。

1. A new method for estimating the magnitude of the angular velocity of self-motion by measuring the average pressure on both inside and outside walls of a fluid-filled circular canaj was proposed. Our theory assuming the hydrostatic condition was discussed and proved by numerical simulations and experimental results.2. It is desirable for intelligent image sensing system to be able to control its gaze direction with regard to the motion of the target object. To realize the gaze control, we formulated a control criterion similar to that of human eye movements : saccade and smooth pursuit. Experimental results showed the effectiveness of our gaze control method. In these experiments, our system showed an important property of smart sensing system, i. e. the ability to dynamically select the optimum operating mode for the purpose of measuring.3. We proposed and demonstrated a newly extended real-time and flexible intelligent visual sensing system which was able to integrate visual sensory information with angular velocity information, and control camera gaze direction by both electronic and mechanical means simultaneously. The angular velocity sensor was composed of three vibratory gyroscopes ahad was able to detect three components of angular velocity. Experimental results showed that the system performs good fixation and moving object detection under gyro stabilized condition. It is desirable that the future intelligent visual sensing system mounted on locomotive machines can not only compensate the turbulence due to their movement, but also utilize the turbulence actively as the necessary information to recognize the outer world. As the results, such advanced signal processing will become more important technique.