Category: SLAM
SLAM technologies enabling real-time mapping and localization, powering mobile scanning, robotics, and dynamic reality capture workflows.
SLAM Lidar is enabling rapid digital twin creation by capturing…
The mining industry is undergoing a digital transformation as it…
Urban surveying is evolving rapidly. With reality capture tools and…
Urban surveying is evolving rapidly. With reality capture tools and…
IntroductionThe rapid advancement of 3D laser scanning technology has revolutionized…
Introducing Emesent and Dr. Hrabar Many of our readers are…
To address the issue of significant point cloud ghosting in…
GeoCue Launches TrueView GO – Expanding Its Portfolio with Advanced…
For anyone interested in digitizing the world around them, SLAM…
Ten benefits of SLAM scanning in topo and detail survey…
100+ LiDAR Scans in Three weeks on Alcatraz – Register…
You’ve heard big claims about simultaneous localization and mapping (SLAM)…
In one of the few major announcements from InterGEO so…
Lidar News had the opportunity to interview Georg Schroth, Co…
Into the dark unknown: How Hovermap is helping drive NASA’s…
Cansel to offer NavVis VLX wearable mobile mapping systems to…
As humanity prepares to return to the moon (“to stay,”…
THE WORLD’S LARGEST DINOSAUR – IMMORTALISED IN DIGITAL 3D The team…
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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