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Highway Inspections & Clearance Analysis

Challenges

Traditional inspection methods are labor-intensive, especially in hard-to-reach areas like high slopes and bridges. They suffer from low management efficiency due to scattered data and cumbersome retrieval processes. Additionally, manual inspections pose safety risks, especially in tunnels, slopes, and other hazardous areas.  We introduce an automated highway maintenance inspection program to meet these industry needs.

Project

Within 24 hours, we completed data processing for 34 square kilometers of urban patrols, marking a 300% increase in efficiency.


  • Data Acquisition

We utilized the LiMobile vehicle-mounted laser measurement system to gather raw data spanning 229.86km in just 5.5 hours.


  • Data Processing 

With the LiGeoreference software, we derived 409G of high-precision 3D laser point cloud data from urban roads and their surroundings in a mere 13 hours.

  • Clearance Analysis

Using LiDAR360 MLS software, we simulated vehicle traffic paths and spatial dimensions to identify potential safety hazards between vehicles and roadside greenery. This analysis enabled the generation of a comprehensive report, aiding in precise tree pruning along streets.

  • Driving Distance Analysis

Through LiDAR360 MLS software, we simulated driving paths, defined driving distances, and assessed the visibility of road facilities within these distances. This "scene reproduction" feature of the laser point cloud evaluates the safety of road facilities based on actual visible area data.

Our One-stop Solution for Road Inspection

  • The vehicle-mounted LIDAR scanning system allows for rapid data acquisition (up to 60km/h) of urban roads and their surroundings.
  • Professional point cloud data pre-processing ensures both time efficiency and high accuracy.
  • Ground point cloud 3D element extraction and analysis support the swift visualization and processing of vast point cloud data. The processing software is compatible with over 90% of LiDAR point cloud and image data collected by vehicle-mounted, backpack, or hand-held devices available in the market. It supports display, browsing, measurement, collection, editing, and spatial analysis, offering robust data support for road safety analysis.

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