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Field Application of Global Positioning System01:28

Field Application of Global Positioning System

245
The Global Positioning System (GPS) has become an indispensable tool in fieldwork, offering unparalleled precision and efficiency for surveying, navigation, and infrastructure development. By harnessing signals from a constellation of satellites, GPS receivers determine the location of objects with remarkable speed and accuracy, often completing calculations within a second.Advantages of Modern GPS TechnologyContemporary GPS receivers are designed to meet the practical demands of field...
245
Types of Global Positioning System Surveys01:30

Types of Global Positioning System Surveys

249
GPS surveying methods vary in application, accuracy, and data collection techniques, catering to diverse surveying and mapping needs. Static GPS, kinematic GPS, and real-time kinematic (RTK) surveying are widely used. Each technique offers distinct advantages.Static GPS involves placing one receiver at a known reference point and another at the target point. It collects exact positional data by observing multiple satellite ranges over an extended period, achieving centimeter-level accuracy for...
249
Distance Measurements by Taping01:18

Distance Measurements by Taping

354
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...
354
Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device01:30

Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device

305
Surveyors use Global Positioning System (GPS) technology to measure the precise location and elevation of points on Earth. In a recent survey, GPS receivers were used to determine the coordinates and elevations of two park monuments. The process involved careful mission planning, data collection, and correction to ensure accuracy. The survey began with mission planning to identify optimal satellite visibility and minimize Position Dilution of Precision (PDOP). A geodetic control point...
305

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Related Experiment Video

Updated: Dec 24, 2025

Three-dimensional Super Resolution Microscopy of F-actin Filaments by Interferometric PhotoActivated Localization Microscopy iPALM
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A Review of Visual-LiDAR Fusion based Simultaneous Localization and Mapping.

César Debeunne1, Damien Vivet1

  • 1ISAE-SUPAERO, Université de Toulouse, 10 avenue Edouard Belin-BP 54032, 31055 Toulouse, CEDEX 4, France.

Sensors (Basel, Switzerland)
|April 11, 2020
PubMed
Summary
This summary is machine-generated.

This study surveys visual-LiDAR Simultaneous Localization and Mapping (SLAM), highlighting its advantages over traditional methods. It reviews current research in visual, LiDAR, and fused sensor SLAM for robust autonomous navigation.

Keywords:
LiDARSLAMcamerahybridizationlocalizationmappingvision

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Area of Science:

  • Robotics and Artificial Intelligence
  • Computer Vision and Sensor Fusion

Background:

  • Autonomous navigation relies on precise mapping and localization, with Simultaneous Localization and Mapping (SLAM) being a key solution.
  • Existing SLAM research extensively covers visual and visual-Inertial Measurement Unit (IMU) approaches, but LiDAR-SLAM has seen limited recent advancements.
  • Vision-LiDAR fusion in SLAM offers significant potential for enhanced performance, particularly in challenging conditions like aggressive motion or poor lighting.

Purpose of the Study:

  • To provide a comprehensive survey of visual-LiDAR SLAM techniques.
  • To review the current state-of-the-art in SLAM research, emphasizing vision, LiDAR, and their sensor fusion.
  • To highlight the advantages of combining vision and LiDAR for improved autonomous navigation.

Main Methods:

  • A review of fundamental SLAM concepts and implementation strategies.
  • A detailed examination of existing research in visual SLAM.
  • A comprehensive analysis of LiDAR-based SLAM techniques.
  • An in-depth exploration of sensor fusion approaches combining vision and LiDAR data for SLAM.

Main Results:

  • Identified limitations and stagnation in traditional LiDAR-SLAM methods.
  • Highlighted the performance benefits of vision-LiDAR fusion in SLAM, especially under adverse conditions.
  • Provided a structured overview of the current landscape of visual, LiDAR, and visual-LiDAR SLAM research.

Conclusions:

  • Visual-LiDAR SLAM presents a promising direction for advancing autonomous navigation systems.
  • Sensor fusion of vision and LiDAR data is crucial for overcoming limitations of single-modality SLAM.
  • Further research in vision-LiDAR SLAM is essential for robust and reliable autonomous systems.