Tag: Reality Capture
FIFA’s latest World Cup technology combines high-resolution 3D body scans,…
The Challenge of Coastal Geospatial Data For all the advances…
The Municipal Corporation of Delhi is using drones, GIS, and…
XPONENTIAL 2026 Detroit brought together leaders from across the unmanned…
Key Takeaways: Artificial intelligence and lidar are transforming forestry from…
What was once hidden beneath nearly two centuries of forest…
Geo Week Seeks Impactful Presentations; Accepting Speaker Submissions Through July…
As consolidation reshapes the industry, the future of lidar and…
This article covers new MIT research that brings non-line-of-sight imaging…
Leica Geosystems and Mach9 Showcase End-to-End Reality Capture Workflow Webinar:…
The Utah Geological Survey is employing bathymetric lidar to peel…
Recent research from MIT News exploring advances in optical phased…
Digital twins are often positioned as visualization tools, but in…
The integration eliminates manual lidar conversion workflows and enables same-day…
NV5 is hosting a geospatial AI webinar Live event on…
Written by Caroline Beach Tuvalu is a small Pacific island…
XPONENTIAL Europe offered a view into how the unmanned systems…
Reality capture is evolving—and it’s no longer just about static…
Popular Posts
FIFA’s latest World Cup technology combines high-resolution 3D body scans, sensor-equipped match balls, and real-time tracking systems to create digital twins of every player competing in the tournament. Every World Cup Player Receives a Digital Twin The technology behind modern soccer officiating has evolved far beyond traditional video replay. According to a recent Wired report,…
The Challenge of Coastal Geospatial Data For all the advances in geospatial technology over the past two decades, the coastal zone has remained stubbornly hard to capture. It is too dynamic for static surveying, too shallow for deep-water acoustic systems, and too vast for any ground-based approach to cover meaningfully. New Zealand, a nation with…
For many people, LiDAR is still strongly associated with autonomous vehicles: cars scanning roads, detecting pedestrians, cyclists, lane boundaries, and obstacles. This association makes sense because autonomous driving has been one of the most visible areas for LiDAR development. However, the future of LiDAR is not limited to vehicles. A more interesting question is what…
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