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Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

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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...
389
Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

448
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...
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Distance Corrections01:15

Distance Corrections

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To achieve precise distance measurements, especially in surveying and construction, certain corrections must be applied to account for potential sources of error like the standardization errors, temperature variations, and slope adjustments.Standardization error emerges when measurement equipment undergoes changes, such as wear, repairs, or weather impacts. To address this, surveyors compare the equipment’s readings to a standard. This process identifies any deviation that might lead to...
25
Common Leveling Mistakes and Errors01:17

Common Leveling Mistakes and Errors

60
A survey team is tasked with determining the elevation difference between points Point A and Point B, separated by uneven terrain. They use a leveling instrument and a leveling rod.Common MistakesMisreading the Rod: During a backsight reading at Point A, the instrumentman observes the rod partially obscured by tall grass. Instead of reading 1.135 m, they mistakenly record 1.735 m due to the misalignment of the crosshair with the wrong graduation. This error adds 0.600 m to all subsequent...
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Influence of Earth's Curvature and Atmospheric Refraction on Leveling01:26

Influence of Earth's Curvature and Atmospheric Refraction on Leveling

54
During leveling, the Earth's curvature and atmospheric refraction introduce deviations in the line of sight from a true horizontal reference. When the line of sight is leveled, it remains perpendicular to the plumb line only at a single point. Beyond this, it deviates due to the Earth’s curvature, represented by the correction C. For a sight distance D, the deviation can be derived using the relationship:This relationship shows that the deviation increases quadratically with distance.
54
Relative Motion Analysis using Rotating Axes - Acceleration01:22

Relative Motion Analysis using Rotating Axes - Acceleration

322
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. The absolute velocity of point B is determined by adding the absolute velocity of point A, the relative velocity of point B in the rotating frame, and the effects caused by the angular velocity within the rotating frame.
Time differentiation is...
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Related Experiment Video

Updated: Jun 6, 2025

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers
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A Method for Measuring the Error Rules in Visual Inertial Odometry Based on Scene Matching Corrections.

Haiqiao Liu1, Zichao Gong1, Jinxu Shen2

  • 1The School of Electrical and Information, Hunan Institute of Engineering, Xiangtan 411104, China.

Micromachines
|November 27, 2024
PubMed
Summary

This study introduces a new method for measuring visual inertial odometry errors in unmanned aerial vehicles (UAVs) using scene matching corrections. The proposed VN+MEMS+SM model offers improved accuracy over the MEMS+SM model under specific conditions.

Keywords:
MEMSintegrated navigationscene matching

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Area of Science:

  • Robotics and Autonomous Systems
  • Navigation and Control
  • Computer Vision

Background:

  • Unmanned aerial vehicles (UAVs) face challenges in integrated navigation accuracy.
  • Existing visual inertial odometry methods require enhanced error measurement techniques.

Purpose of the Study:

  • To propose and validate a novel method for measuring integrated navigation errors in UAVs.
  • To improve the accuracy of visual inertial odometry through scene matching corrections.

Main Methods:

  • Developed separate models for visual navigation, Micro-Electromechanical System (MEMS) navigation, and scene matching.
  • Constructed integrated navigation error measurement models: MEMS+SM and VN+MEMS+SM.
  • Experimentally evaluated model performance based on scene matching accuracy, time, and MEMS accuracy.

Main Results:

  • VN+MEMS+SM and MEMS+SM models showed similar errors at scene matching accuracy < 10 m and time < 10 s.
  • Determined critical scene matching accuracies for specific average errors in the MEMS+SM model at 10s matching time.
  • VN+MEMS+SM model outperformed MEMS+SM when MEMS accuracy was 150, scene matching accuracy was 50 m, and time exceeded 135 s.

Conclusions:

  • The proposed VN+MEMS+SM model enhances integrated navigation error measurement for UAVs.
  • Scene matching corrections are crucial for improving visual inertial odometry accuracy.
  • Optimal performance depends on balancing scene matching parameters and sensor accuracies.