Tag: Infrastructure Mapping
XPONENTIAL 2026 Detroit brought together leaders from across the unmanned…
Geo Week Seeks Impactful Presentations; Accepting Speaker Submissions Through July…
Leica Geosystems and Mach9 Showcase End-to-End Reality Capture Workflow Webinar:…
The integration eliminates manual lidar conversion workflows and enables same-day…
The reconstruction of the Ashaiman Roundabout to Akosombo Junction section…
Summary Beyond Visual Line of Sight (BVLOS) drone operations are…
Drone power line inspections are a critical component of electricity…
Denver, CO – February 16th, 2026 — Aethon Aerial and 3DEO today announced a strategic…
Quantum Reality Capture (QRC), a leading provider of reality capture…
YellowScan, a leader in LiDAR technology, presents the YellowScan Venturer,…
Lost Valley of Cities Revealed by Lidar A groundbreaking study…
3D River Mapping with VZ-600iRIEGL’s VZ-600i hybrid terrestrial laser scanner…
By Randy Allen, Senior Survey Project Manager and Lidar Mapping…
Mobile Mapping Lidar: Mosaic Meridian Meets Ranger for Efficient 3D…
HBIM and 3D Scanning for Historic Preservation This article details…
Burkhard Boeckem, CTO of Hexagon, to Deliver Keynote at Geo…
Urban surveying is evolving rapidly. With reality capture tools and…
Urban surveying is evolving rapidly. With reality capture tools and…
Popular Posts
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…
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