Currently, many organizations utilize manual methods to measure vertical and horizontal bridge clearances. Not only is this time consuming, but also costly and dangerous, compromising the safety of employees as well as passing motorists. Poor or inaccurate data can cause damage to vehicles and highway structures. Conversely, overly conservative routing inhibits economic activity and provides the impetus for unauthorized route modifications. Mandli’s LiDAR system provides a far superior method to older collection practices. The LiDAR sensors collect a point cloud of data, scanning the roadway and surrounding environment. Mandli’s software takes this point cloud and analyzes it for bridge data, extracting the vertical and horizontal clearance measurements. The system provides a cost-effective means of collecting this important dataset in a single pass at highway speeds.
Overhead sign information can be identified and extracted from LiDAR data using Mandli’s post-processing software. This information can be used to create a custom sign database, and can be synchronized with imaging and positional data for a comprehensive data set. Attributes such as size, type, and mount type can be easily identified using the LiDAR data attributes. Location and legend information are also available with the full data set. Clearance information is yet another valuable measurement which can be produced by analyzing the LiDAR data.
- Data used to create custom sign database
- Features such as condition and sign mount type extracted
- Synchronized imaging and GPS data provide location and legend for sign