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Related Concept Videos

Distance Measurements by Taping01:18

Distance Measurements by Taping

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Tapes are essential in surveying for accurate, durable, and short-distance measurements. Made from lightweight, nylon-coated steel, they offer flexibility and strength for rugged outdoor use. The nylon coating protects against rust and wear, extending the tape's life. Standard lengths, around 30 meters, are marked in meters and millimeters for precision.Surveyors select tapes based on site conditions and accuracy needs. Lightweight, nylon-coated tapes are commonly used for ease of handling and...
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Design Example: Measuring Distance Between Two Points with Obstructions01:10

Design Example: Measuring Distance Between Two Points with Obstructions

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When measuring distances in areas with physical obstructions, such as a lake in a field, surveyors must employ techniques to calculate accurate lengths without direct line measurements. One effective method is the offset technique, which allows for precise distance estimation over inaccessible stretches.In this scenario, a surveyor must measure a side of an area that crosses a lake. Since the measuring tape cannot span the lake, the surveyor begins by establishing a baseline that aligns with...
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Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

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Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.
787
Distance Corrections01:15

Distance Corrections

59
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...
59
Influence of Earth's Curvature and Atmospheric Refraction on Leveling01:26

Influence of Earth's Curvature and Atmospheric Refraction on Leveling

181
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.
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Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging
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Accurate 3D to 2D Object Distance Estimation from the Mapped Point Cloud Data.

Saidrasul Usmankhujaev1, Shokhrukh Baydadaev1, Jang Woo Kwon1

  • 1Department of Electronic and Computer Engineering, Inha University, Incheon 22212, Republic of Korea.

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Summary

This study introduces a novel method for accurate distance estimation using monocular cameras and converted point cloud data. The approach enhances object detection and distance calculation in computer vision, proving highly accurate and robust.

Keywords:
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Area of Science:

  • Computer Vision
  • Robotics
  • 3D Perception

Background:

  • Monocular distance estimation is challenging due to occlusions, lighting, and motion variations.
  • Existing methods like stereo matching and time-of-flight have limitations.
  • Integrating 3D environmental data simplifies distance calculations.

Purpose of the Study:

  • To develop a novel, accurate, and robust distance estimation method using monocular cameras and point cloud data.
  • To address challenges in computer vision for metric distance estimation.
  • To improve object detection and distance calculation in complex scenes.

Main Methods:

  • Utilized converted point cloud data for distance estimation.
  • Employed a map-based bird's eye view (BEV) representation.
  • Integrated the Euler-region proposal network (E-RPN) for LiDAR-to-image 3D bounding box projection.
  • Applied triangulation for final distance calculation.

Main Results:

  • Successfully extracted all bounding box parameters, including height and elevation, from BEV.
  • Demonstrated accurate metric distance estimation despite BEV's limitations with height.
  • Achieved high accuracy and robustness in distance calculations.

Conclusions:

  • The proposed method offers a reliable solution for monocular distance estimation.
  • The integration of point cloud data and BEV with E-RPN enhances accuracy.
  • This approach represents a significant advancement in 3D perception for computer vision applications.