
Digital Precision at the Black Sea: 3D Scanning a Port…
Sergiu Ceausu, Head of the 3D Scanning Department at GISCAD,…
March 21, 2025 – UN World Day for Glaciers Project…
TREKK Design Group Acquires State-of-the-Art LiDAR Scanner KANSAS CITY, Mo.…
Trimble Opens Technology Lab at Florida A&M University, Marking New…
Studio Steel operates in highly complex situations installing a wide…
From Labs, Trimble recently announced a new SketchUp for iPad…
Geophysical Surveys Improved with Airborne LiDAR By Chase Wood, Data…
Trimble Opens Two Technology Labs at The Ohio State University…
By now most of you have heard about Spot, the…
Laser scanning technology helps preserve and repurpose a historic masonry…
Seiler Instrument announces the acquisition of assets to expand its presence…
The Schiphol Tunnel is part of a 17-km passenger train…
“Fat Bear Week celebrates fatness. That’s what you want to…
A robotic dog fitted with in-built laser scanners has been…
SEILER INSTRUMENT ANNOUNCES ACQUISITION OF ASSETS TO EXPAND Presence as…
Trimble announced the release of the Trimble X7 3D laser…
Has real time precise point positioning finally hit prime time…

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…