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USIBD to Compare Mobile Mapping Systems

photo of Geo Week 2024

Geo Week 2024 is right around the corner, once again promising to bring together the geospatial industry and built world for a three-day event in Denver, Colorado. As always, the event will include plenty of networking opportunities, an exhibit hall floor packed with both new and exciting companies in the industry as well as the stalwarts, and of course a diverse and informative conference program with presentations and panel discussions covering all corners of the industry. One of the more unique sessions taking place in Denver this year will be at the Exhibit Hall Theater, when the United States Institute of Building Documentation (USIBD) takes the stage to compare results of mobile scans from a variety of different companies and products, which will have been completed earlier in the weekend.

This will be the second consecutive year the USIBD has held an event like this at Geo Week, with the group presenting last year data from a variety of different terrestrial laser scanners. For that event, scanners from different companies were used to scan different materials in a designated location on the exhibit floor. On the final day of the event, they presented the resulting data from companies for those in attendance to compare depending on their potential needs. The group also discussed broader goals for the organization, including their desire to create a standardized spec sheet for these types of scanners.

While this year’s presentation will be similar to last year, there are crucial differences with the processes and equipment being tested. This year, in addition to data from terrestrial scanners, USIBD will be presenting data collected from mobile systems, mapping corridors in the Colorado Convention Center in the days leading up to the event. In Tuesday’s session, Chris Kercheval told Geo Week News that USIBD will be presenting the data from participating companies, along with other crucial pieces of information such as the time it took to process the data, what software was necessary, and how the data performed against ideal conditions.

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