
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:…
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…
NV5 is hosting a geospatial AI webinar Live event on…
XPONENTIAL Europe offered a view into how the unmanned systems…
Commercial UAV Expo Announces Opening Keynote: The View from the…
Reality capture is evolving—and it’s no longer just about static…
Zillow SkyTour is a first-of-its-kind immersive feature that allows home…
Revolution Geosystems Announces Strategic Acquisition of Phoenix LiDAR Systems, Expanding…
Leading Geospatial Event Gathered 3,509 Professionals in Denver Showcased the…
Quantum Reality Capture (QRC), a leading provider of reality capture…
New solution converts 360 video walkthroughs into 3D data to…
Event Brings Together Thousands of Geospatial Professionals for Unparalleled Collaboration…
Booth Number: 1003 NV5 will be in Denver, CO for Geo Week,…
Phoenix LiDAR Systems will exhibit at Geo Week 2026, taking…

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…