Tag: Disaster Response
The Municipal Corporation of Delhi is using drones, GIS, and…
Leica Geosystems and Mach9 Showcase End-to-End Reality Capture Workflow Webinar:…
Digital twins are often positioned as visualization tools, but in…
Lidar earthquake mapping is helping researchers uncover an ancient fault…
The rise of “cascading hazards”, where one disaster triggers another,…
Charting the Future of 3D Topography: USGS Calls for Next-Gen…
The General Robotics Lab at Duke University has introduced WildFusion,…
IntroductionThe rapid advancement of 3D laser scanning technology has revolutionized…
In the News: NV5 Geospatial and USGS Release High-Resolution LiDAR…
LiDAR technology is revolutionizing urban development modeling in Africa, offering…
Bridging the Gap: SAM’s Swift Collaborative Efforts in the Francis…
The Eaton Fire left a significant mark on the landscape,…
Navigating drones indoors has always been a challenge. With GPS…
Key Outcomes Faster Processing: Leveraging Spacesium’s domain expertise and LiDAR…
Researchers from the University of Hong Kong develop high-speed micro…
In a concerted effort to bolster wildfire response and recovery,…
Hurricane Helene, which hit parts of the Caribbean and the…
On December 8th, 2024, Notre-Dame de Paris officially reopened to…
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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