Posted by: ssimichigan | August 16, 2012

MoLi™ (Mobile LiDAR)

Here is a mobile mapping point cloud colorized with RGB images from the digital cameras.  The dataset was captured at an intersection/roundabout with MoLi™ at Michigan State University.

http://youtu.be/v0q8sq6xgxo

Posted by: ssimichigan | August 14, 2012

RaLi™ (Rail LiDAR) Introduction

Rail LiDAR

RaLi™ (Rail LiDAR) on site for an exciting and innovative project.

 

Surveying Solutions, Inc. (SSI) is pleased to offer mobile mapping services for rail applications to their already extensive offering of geospatial solutions.  After completing several rail projects, SSI has made the necessary investments into all the proper rail equipment, training, and certifications.  SSI just completed an exciting new rail project utilizing RaLi™ that has incorporated some pretty innovative and progressive tools that will be disclosed shortly.  These innovations will have a profound impact on the mobile mapping community, and they will help to continue in moving the mobile mapping markets forward.  Stay tuned with us for more information.  Please keep visiting our website, media outlets, and blog for all of the updated information.

Posted by: ssimichigan | August 14, 2012

I-96/US 23 Brighton Interchange Data Fusion

mobile mappingWith so many technologies available for collecting geospatial data, it is increasingly difficult for contracting entities to decide which technology or data source will give them the best possible data for a given project. Understanding that each dataset offers specific benefits, many clients have begun asking for deliverables that are obtained through a combination of different technologies and datasets. This process, commonly referred to as data fusion, is generating a great deal of excitement throughout the entire geospatial industry. However, there are still many questions about data fusion and its use.

One of the biggest concerns facing the end user is accuracy. Different data collection methods yield different accuracies, depending on the technology that was used during the collection phase. Merging datasets with accuracies that vary from 1 to 10 centimeters can be cumbersome, to say the least. To fully capitalize on the benefits of data fusion and reach a successful outcome, the project team must be capable and must fully understand the advantages and limitations of each data source.

A recent Michigan Department of Transportation (MDOT) project provides a good model for what can be achieved when the right variables are in place. The project involved conducting a full topographic survey of the I-96/US 23 highway interchange in Brighton. One of the busiest interchanges in Michigan, the I-96/US 23 junction consists of several right and left exiting and entering ramps, tightly merging lanes, and a long section of high speed curving expressway with rolling grades. The safety of the motoring public and of the surveyors mapping the roadway was a critical concern. Other issues included time, resources, traffic volume, lane closures and public opinion. The only way to address to these concerns while maintaining the ability to acquire highly accurate survey data was through data fusion using a combination of existing aerial photogrammetry, traditional ground survey methods, and mobile LiDAR using SSI’s Riegl VMX-250 system, known as MoLi.

The ability to use multiple data sources ensured that MDOT received all of the information that was collected while also giving Michigan taxpayers the best return on their tax dollars. Using mobile LiDAR gave the MDOT project team a more thorough and representative dataset, which will help the project team mitigate many unforeseen concerns that may occur throughout the project’s lifecycle. “New tools and technologies have rapidly changed the ways highway corridor projects are being surveyed,” says Kelvin J. Wixtrom with MDOT. “Each new technology provides its own unique advantages for acquiring portions of data better or more efficiently than other methods. Multiple tools generating several datasets are generally required to cover the entire project efficiently, [and] data fusion is becoming necessary in many more projects.”

« Newer Posts

Categories

LiDAR News

Home of the LiDAR Industry

Jason Amadori.com

Asset Management, GIS and LiDAR Projects

GeoErnest

Providing geospatial education to help people succeed. Learn about direct georeferencing, sensor/system integration, and mapping workflows.

The RIEGL Newsroom

Your Source for Everything RIEGL

In The Scan

Laser Scanning Industry News