Analyze: Detection and Vectorization Tools

Menu: Analyze

The Analyze menu in VisionLidar provides a suite of detection and vectorization algorithms to extract meaningful data from point clouds. These tools help classify, segment, and convert point cloud data into vectorized elements for further analysis and modeling.

Segmentation

VisionLidar includes automatic segmentation tools that categorize points based on their type or location. These tools help users segment different elements within the dataset.

• Aerial – Classifies points obtained from aerial LiDAR scans.

• Ground – Identifies and isolates ground-level points.

• Buildings – Detects and classifies building structures within the point cloud.

• Vegetation – Segments and classifies trees, shrubs, and other vegetation.

• Noise – Identifies and removes unwanted outlier points from the dataset.

Cross-Section and Profile Analysis

For terrain and structural analysis, VisionLidar allows users to extract sections and profiles from the point cloud.

• Sections – Generates cross-sections of the point cloud for engineering and design applications.

• Profiles – Extracts longitudinal profiles along a specific path for road and infrastructure planning.

Object Detection and Vectorization

The Analyze menu includes tools to detect and vectorize objects from the point cloud, enabling conversion into CAD-ready formats.

• Planes – Identifies and extracts planar surfaces.

• Cylinders – Detects and models cylindrical objects, such as pipes and columns.

• Trees – Recognizes and vectorizes trees in the dataset.

• Object Detection – Finds predefined objects based on geometric properties.

• Clusters – Segments the point cloud into distinct groups of points based on proximity.

Comparing and Analyzing Surfaces

• Compare Scans – Analyzes differences between multiple scans for change detection.

• Analyze Surface – Evaluates terrain or surface properties within the point cloud.

Feature Detection and Vectorization for Infrastructure and Roadways

VisionLidar includes specialized detection and vectorization algorithms for infrastructure and roadway elements.

• Catenary Detection – Detects suspended cables and catenary wires and poles in power and rail networks.

• Edge Detection – Identifies sharp edges and boundaries in structures.

• Road Marking Detection – Extracts road markings from the point cloud for mapping and navigation.

• Crash Barrier Detection – Identifies and models roadside barriers.

Planimetric Orthophotos

• Planimetric Orthophotos – Generates top-down orthophotos from point cloud data for accurate mapping.