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Related Concept Videos

Types of Global Positioning System Surveys01:30

Types of Global Positioning System Surveys

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

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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...
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Topography involves measuring and mapping land elevations, natural features, and artificial structures to create accurate representations of the terrain. Topographic surveying relies on traditional and modern methods, each with distinct advantages and limitations.Traditional Surveying Methods:Transit stadia surveys and plane table surveys were widely used traditional surveying methods. These techniques relied on instruments like theodolites and stadia rods for measuring distances and angles,...
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Field Application of Global Positioning System01:28

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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...
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Design Example: Alignment of a Road Line Using GIS01:17

Design Example: Alignment of a Road Line Using GIS

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The alignment of a road line using Geographic Information Systems (GIS) is a critical process in civil engineering, combining advanced technology with practical decision-making. This methodology begins with the collection of geospatial data, including information on land cover, geomorphology, drainage patterns, slope, and contour details. Such data is typically acquired through satellite imagery and GIS tools, offering a comprehensive understanding of the terrain.Once the data is gathered, it...
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GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
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A Survey of Localization Methods for Autonomous Vehicles in Highway Scenarios.

Johann Laconte1, Abderrahim Kasmi1, Romuald Aufrère1

  • 1Clermont Auvergne INP, CNRS, Institut Pascal, Université Clermont Auvergne, F-63000 Clermont-Ferrand, France.

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Accurate vehicle localization on highways is crucial for autonomous driving. This survey details methods for determining the road, lane position, and lane, essential for safe navigation and advanced driving maneuvers.

Keywords:
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Area of Science:

  • Robotics and Artificial Intelligence
  • Computer Vision and Sensor Fusion
  • Automotive Engineering

Background:

  • Autonomous vehicles require precise road localization for safe navigation on highways.
  • Global Navigation Satellite Systems (GNSS) alone are insufficient for high-accuracy highway localization.
  • Sensor fusion with road map data is critical for robust vehicle positioning.

Purpose of the Study:

  • To survey and categorize state-of-the-art localization methods for autonomous vehicles on highways.
  • To break down the highway localization problem into its core components.
  • To analyze the advantages and disadvantages of existing localization techniques.

Main Methods:

  • Discusses methods for inferring the current road of travel, requiring filtering beyond basic GNSS.
  • Examines techniques for estimating precise vehicle position within a lane.
  • Covers approaches for determining the specific lane a vehicle occupies.

Main Results:

  • Identifies three key components of highway autonomous vehicle localization: road inference, in-lane positioning, and lane determination.
  • Highlights the necessity of these components for safety-critical maneuvers like overtaking.
  • Provides a taxonomy of current localization methods, evaluating their strengths and weaknesses.

Conclusions:

  • Accurate localization, encompassing road, position, and lane, is fundamental for autonomous highway driving.
  • A comprehensive understanding of various sensor fusion and filtering techniques is essential.
  • This survey offers a structured overview to guide future research and development in autonomous vehicle localization.