Tag: Smart Cities
For many people, LiDAR is still strongly associated with autonomous…
The Municipal Corporation of Delhi is using drones, GIS, and…
This article covers new MIT research that brings non-line-of-sight imaging…
Leica Geosystems and Mach9 Showcase End-to-End Reality Capture Workflow Webinar:…
Digital twins are often positioned as visualization tools, but in…
The integration eliminates manual lidar conversion workflows and enables same-day…
Lidar News speaks with Chief Scientist and CEO David Hall…
Roanoke County, VA, in collaboration with NV5, is pioneering a…
Researchers at the Technical University of Munich have released the…
Voyant Photonics expands Carbon™ FMCW LiDAR Platform with new product…
Northstowe is making headlines not just as the UK’s largest…
Mapping Spain from the Sky: How Lidar Technology is Transforming…
Burkhard Boeckem, CTO of Hexagon, to Deliver Keynote at Geo…
Urban surveying is evolving rapidly. With reality capture tools and…
Wingtra has introduced the WingtraRAY, the only drone designed specifically…
FOR IMMEDIATE RELEASE Meet Xavia – She Sees EverythingXenomatiX Unveils…
Creating a first-of-its-kind Lidar laboratory at Tampa International Airport Thank…
Volkswagen autonomous shuttles are moving closer to real-world deployment thanks…
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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