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Infrastructure Condition Assessments

Using advanced LiDAR, photogrammetry, and mobile mapping, we deliver detailed 3D models and precise measurements to assess sidewalks, historical structures, roads, manholes, and more. This comprehensive data empowers you to optimize maintenance, extend asset lifespans, and allocate resources efficiently.

Unlocking Insights: Condition Assessments Using LiDAR & Photogrammetry

Aging infrastructure, safety risks, and limited asset management budgets make it critical for asset managers, municipal planners, and utility providers to understand the condition of their roads, sidewalks, trees, utility poles, and other public assets. Without clear, accurate asset condition data, maintenance becomes reactive, allowing small issues to grow into major hazards, which can negatively impact capital planning.

Infrastructure condition assessment using reality capture technology offers an alternative to traditional field surveys conducted manually. Our assessments deliver a comprehensive, expert-led evaluation of an infrastructure asset such as a road, sidewalk, utility pole, manhole, retaining wall, or tree inventory. Our advanced technology and data extraction processes determine an asset’s current physical condition using GPS, identify defects, wear, or hazards, and projects future maintenance and repair needs that align with your capital planning processes.

These condition assessments are performed by engineers, technicians, and reality capture specialists, resulting in a detailed report that includes asset condition ratings, pavement condition index (PCI) scoring, defect documentation, measurements, detailed imagery, and actionable recommendations. This data supports informed decision-making for municipalities, telecommunications providers, and asset managers responsible for maintenance planning, budgeting, and capital improvements.

Most condition assessments are still conducted using traditional survey methods, with inspectors or surveyors physically accessing and documenting each component. However, this method can be extremely time-consuming, labour-intensive, and sometimes dangerous for field crews. Manual data collection is subject to the data collector’s perception, leading to incomplete or inconsistent data collection from person to person.

That’s why at Eagle, we use advanced mobile LiDAR and photogrammetry tools to streamline the condition assessment process. Our reality capture technology allows us to quickly scan vast areas quickly and efficiently. Our fixed and mobile reality capture technology can collect entire sidewalks, roads, and other infrastructure assets with high-speed precision to produce accurate 3D models and reusable datasets. This approach results in faster condition assessments, improved safety for field crews, and smarter, data-driven decisions that reduce project data capture costs and influence asset lifespans.

A LiDAR 3D rendering of a road condition assessment with curbs, gutters, and other captured assets

Why Choose LiDAR & Photogrammetry for Condition Assessments?

LiDAR and photogrammetry offer significant advantages over traditional methods:

  • Safety: Reduce risk to field crews by minimizing the need to access hazardous areas, capture data in heavily trafficked areas, or harsh environments.
  • Efficiency: Capture and process condition data faster while covering larger geographical areas using less manpower.
  • Accuracy: Obtain highly precise measurements using GPS  combined with detailed imagery of collected assets to create detailed 3D models.
  • Cost-effectiveness: Lower labour costs by capturing data faster and extracting assets using manual methods and AI technology.
  • Data Management: Create permanent digital records of infrastructure assets that are accessible on demand for analysis.

Reality capture data capture methods provide a safer, more efficient, and more accurate approach to condition assessments, leading to better decision-making and cost savings.

 

Condition Assessment Services

A 3D laser-scanned image of a road taken with a mobile mapping unit equipped with LiDAR, which shows road cracks and faults

Road Pavement Condition Assessment

Assess road surfaces, identify potholes, cracks, and surface defects while assessing PCI score and analyzing pavement wear.

A LiDAR point cloud of a bridge done with 3D laser scanning

Bridge Condition Assessment

Evaluate structural integrity, document bridge surfaces and seams, and identify potential maintenance needs.

a sidewalk with cracks found during a municipal sidewalk condition assessment

Sidewalk Condition Assessment

Assess surfaces, identify potholes, heaving, cracks, and wear to prioritize repairs and ensure safe walking surfaces.

an point cloud image of the Hartland Bridge used for a historical preservation scan

Historical Structure Condition Assessment

Document and preserve heritage landmarks and landmarks to create detailed 3D models.

a LiDAR lowered into a manhole for a condition inspection assessment

Manhole Condition Inspection

Detect and assess cracking, rack space, map conduit pathways, tag info, and measure manhole dimensions.

What sets us apart?

Experience

Our team of skilled reality capture engineers and technicians are experts in data collection, processing, extraction, GIS, and analysis.

Advanced Technology

We use state-of-the-art LiDAR and photogrammetry equipment to capture high-resolution data of your structures and infrastructure.

Comprehensive Analysis

We go beyond simple data collection and analyze the captured data to identify potential issues and provide detailed reports with recommendations.

Customized Solutions

We know that every project is unique. We tailor our approach to meet your specific needs, ensuring you receive the most relevant and valuable information.

Frequently Asked Questions About Condition Assessments Using LiDAR

What is the purpose of a condition assessment?

A condition assessment helps asset managers determine the current physical state of their infrastructure on assets such as roads, sidewalks, or buildings. Condition assessments identify defects, evaluate and score safety risks, and forecast future infrastructure maintenance needs to allow asset owners to plan their asset repair schedules, forecast budgets, and extend an asset’s lifespan.

LiDAR and photogrammetry can be combined to assess a wide range of physical assets, including sidewalks, roads, ROWs, urban pathways, pedestrian and vehicle bridges, retaining walls, roof structures, manholes, and even buildings. Reality capture technology is especially useful for large-scale infrastructure projects that require fast, precise, and safe data collection. 

LiDAR-based infrastructure condition assessments are often more accurate and offer more comprehensive details than manual inspection methods. Reality capture technology can detect minuscule surface deformations, wear, cracks, and dimensional changes within millimeters, depending on the specific equipment used to conduct the assessment. The data sets collected can be used to create detailed 3D models for condition analysis and revisited for future reference. 

Using traditional methods, condition assessments can often take days, weeks, or even months, depending on the size and scope of the project. Using mobile LiDAR and photogrammetry, the data capture phase is usually significantly faster and is often completed in a matter of hours or days, depending on the project specifications. Final reports can also be delivered sooner, due to automated processing tools that perform advanced AI data extraction and are manually checked for quality control.

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