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Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame.
However, to express the relative position of point B relative to point A, an additional frame of reference, denoted as x'y', is necessary. This additional frame not only translates but also rotates relative to the fixed frame, making it instrumental in...
Absolute Motion Analysis- General Plane Motion01:24

Absolute Motion Analysis- General Plane Motion

Visualize a drone, with its propellers spinning rapidly, hovering mid-air. The fascinating movements and operations of this drone can be comprehended by applying the principle of general plane motion.
As the drone's propellers rotate, an upward force is generated that counteracts the force of gravity, enabling the drone to lift off from the ground. This initial movement of the drone is along a straight path, representing a form of translational motion. In this phase, every point on the drone...
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

Consider a crane whose telescopic boom rotates with an angular velocity of 0.04 rad/s and angular acceleration of 0.02 rad/s2. Along with the rotation, the boom also extends linearly with a uniform speed of 5 m/s. The extension of the boom is measured at point D, which is measured with respect to the fixed point C on the other end of the boom. For the given instant, the distance between points C and D is 60 meters.
Here, in order to determine the magnitude of velocity and acceleration for point...

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Related Experiment Video

Updated: Jun 22, 2026

FIM Imaging and FIMtrack: Two New Tools Allowing High-throughput and Cost Effective Locomotion Analysis
10:02

FIM Imaging and FIMtrack: Two New Tools Allowing High-throughput and Cost Effective Locomotion Analysis

Published on: December 24, 2014

Low-cost miniature wide-angle imaging for self-motion estimation.

Christel-Loic Tisse

    Optics Express
    |June 6, 2009
    PubMed
    Summary

    This study demonstrates a low-cost, miniature pinhole camera with a wide field-of-view (FOV) using advanced optics and CMOS technology. It shows potential for self-motion estimation in mobile robotics, like stabilizing micro flyers.

    Area of Science:

    • Robotics
    • Computer Vision
    • Optical Engineering

    Background:

    • Pinhole cameras are often overlooked due to simplicity and low image quality.
    • Traditional pinhole designs have limitations in angular field and aperture.
    • Advancements in micro-optics and CMOS imagers offer new possibilities.

    Purpose of the Study:

    • To evaluate a low-cost, miniature wide field-of-view (FOV) visual sensor.
    • To explore the potential of enhanced pinhole optics combined with modern CMOS imagers.
    • To assess the sensor's viability for self-motion estimation in mobile applications.

    Main Methods:

    • Integration of advanced pinhole optics with off-the-shelf micro-optical elements.
    • Utilizing the latest CMOS imager technology for high sensitivity.

    Related Experiment Videos

    Last Updated: Jun 22, 2026

    FIM Imaging and FIMtrack: Two New Tools Allowing High-throughput and Cost Effective Locomotion Analysis
    10:02

    FIM Imaging and FIMtrack: Two New Tools Allowing High-throughput and Cost Effective Locomotion Analysis

    Published on: December 24, 2014

  • Performance testing of the integrated visual sensor system.
  • Main Results:

    • Demonstrated significant improvement in angular field of view for the pinhole camera.
    • Achieved practical performance using high-sensitivity silicon-based digital retina.
    • Validated the sensor's capability for self-motion estimation.

    Conclusions:

    • The enhanced pinhole camera is a practical, low-cost solution for mobile applications.
    • This technology can be applied to stabilize robotic micro flyers.
    • Modern CMOS sensors overcome traditional pinhole limitations, enabling new applications.