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Scan Line Based Road Marking Extraction from Mobile LiDAR Point Clouds.

Li Yan1, Hua Liu2, Junxiang Tan3

  • 1School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China. lyan@sgg.whu.edu.cn.

Sensors (Basel, Switzerland)
|June 21, 2016
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Summary
This summary is machine-generated.

This study presents a new method for extracting road markings from Mobile LiDAR Scanning (MLS) data. The scan line-based approach effectively identifies road markings for detailed 3D map creation.

Keywords:
mobile LiDAR scanningpoint cloudsroad markings extractionroad points extractionscan line

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Area of Science:

  • Geomatics Engineering
  • Computer Vision
  • Robotics

Background:

  • Mobile Mapping Technology (MMT), particularly Mobile LiDAR Scanning (MLS), is crucial for 3D spatial data acquisition.
  • The rise of Advanced Driving Assistance Systems (ADASs) and autonomous driving necessitates high-detail, lane-level 3D maps.
  • Road markings and edges are essential components for generating these detailed maps.

Purpose of the Study:

  • To propose and evaluate a novel scan line-based method for extracting road markings from MLS point clouds.
  • To enhance the accuracy and efficiency of road marking extraction for autonomous driving applications.
  • To provide a robust solution for generating lane-level detailed 3D maps.

Main Methods:

  • Preprocessing: Removing isolated points and organizing data into scan lines.
  • Road Points Extraction: Identifying seed points using Height Difference (HD) and fitting lines with moving least squares.
  • Road Markings Extraction: Applying intensity smoothing, Edge Detection and Edge Constraint (EDEC), and refinement to eliminate Fake Road Marking Points (FRMPs).

Main Results:

  • The proposed method successfully extracts road points and road markings from MLS data.
  • Quantitative evaluation shows high performance with average completeness (0.96), correctness (0.93), and F-measure (0.94).
  • Time complexity analysis indicates the method is a promising alternative for offline road marking extraction.

Conclusions:

  • The scan line-based method effectively extracts road markings from MLS point clouds.
  • The approach demonstrates high accuracy and efficiency, suitable for creating detailed 3D maps.
  • This technology offers a viable solution for the growing demand in autonomous driving and mapping applications.