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Written by Caroline Beach Tuvalu is a small Pacific island…
The reconstruction of the Ashaiman Roundabout to Akosombo Junction section…
Staro Zdanje Castle 3D modeling brings new value to the…
Summary Beyond Visual Line of Sight (BVLOS) drone operations are…
Roanoke County, VA, in collaboration with NV5, is pioneering a…
Drone power line inspections are a critical component of electricity…
An Attempt to Restore a Basis of Elevation using GNSS,…
Mobile Mapping Italy’s Fiber Network at National Scale In this…
Capturing the Royal Bulgarian Train Station in 3DWritten by Martin…
Historic Documentation in 3D: A Young Professional’s First Photogrammetry Case…
CyArk, in collaboration with Iron Mountain and Google Arts &…
IntroductionThe rapid advancement of 3D laser scanning technology has revolutionized…
Digital Precision at the Black Sea: 3D Scanning a Port…
We’d like to thank Sergiu Ceausu, Head of the 3D…
March 21, 2025 – UN World Day for Glaciers Project…
What Are Glide Avalanches and Why Do They Matter? Avalanches…
The Edmund Pettus Bridge, Selma, Alabama, a symbol of the…

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…
The Municipal Corporation of Delhi is using drones, GIS, and digital twin technology to identify unassessed properties while creating a comprehensive digital inventory of city assets. The Municipal Corporation of Delhi (MCD) has launched a pilot initiative that uses drones, GIS, and digital twin technology to identify unassessed and under-assessed properties across India’s capital city.…
Autonomous navigation has been built largely on optical sensing. Cameras, lidar, and sensor fusion systems reconstruct the world through reflected light, translating physical environments into spatial models that machines can interpret and act on. In most conditions, this approach works remarkably well. But it is fundamentally tied to visibility. Smoke, heavy snow, dust, fog, and…