Digitizing Roadway Features from Point Clouds in N4ce
Автор: The 3rd Dimension
Загружено: 2026-01-06
Просмотров: 448
In this episode, we explore how to digitize roadway components and markings in N4ce using point cloud data from a Riegl VMY-2 MLS capture of Downtown Orlando. You’ll learn practical workflows for extracting curbs, gutters, road markings, and other corridor features using a mix of 2D, 3D, and orthophoto techniques.
We’ll cover step-by-step methods for:
Creating and using scaled orthophotos for digitizing curbs and edges.
Working efficiently in 3D sections and using the parallel tool to define linear features.
Applying feature extraction tools for automatic curb detection.
Digitizing road lines, text markings, and symbols such as arrows and HOV diamonds.
Using tools like densify, zig-zag, extend, and join to refine and clean linework.
Whether you’re new to N4ce or refining your road corridor survey workflows, this tutorial shows how to combine accuracy and efficiency using real-world MLS data.
Keywords: N4ce tutorial, road corridor survey, point cloud extraction, curb digitizing, Riegl VMY-2, N4ce beginner to pro, feature extraction, road markings, top of curb, 3D point cloud modeling
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