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Development of Mobile Mapping System for 3D Road Asset Inventory
Nivedita Sairam1, Sudhagar Nagarajan2, Scott Ornitz3
1Department of Civil, Environmental and Geomatics Engineering, Florida Atlantic University; 777 Glades Road, Boca Raton, FL 33431, USA. nsairam2014@fau.edu.
Sensors (Basel, Switzerland)
|March 18, 2016
Summary
This study introduces a low-cost mobile mapping system for infrastructure asset management. The system efficiently collects 3D asset data, reducing time and costs associated with traditional methods.
Area of Science:
- Civil Engineering
- Geomatics Engineering
- Computer Vision
Background:
- Asset management is crucial for infrastructure projects, but data collection is costly and time-consuming.
- Developing comprehensive asset management systems requires accurate and efficient data acquisition.
Purpose of the Study:
- To propose and evaluate a low-cost mobile mapping system for 3D asset inventory.
- To reduce the time and cost associated with data collection for asset management.
Main Methods:
- Utilizing low-cost sensors (laser scanner, cameras) with derived sensor models.
- Calibrating and aligning sensors including Inertial Measurement Unit and GPS.
- Developing automated and manual asset extraction techniques (RANSAC plane fitting, edge extraction).
Main Results:
- Demonstrated the feasibility of low-cost sensors for 3D asset inventory.
- Successfully derived geo-referenced images and 3D point clouds.
- Validated the quality of the collected and processed data.
Conclusions:
- The proposed mobile mapping system offers an efficient and cost-effective solution for 3D asset inventory.
- The developed framework supports both automated and manual road asset extraction.
- The study provides a foundation for unified 3D asset inventory using GIS.
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