Tag: Standards
XPONENTIAL 2026 Detroit brought together leaders from across the unmanned…
XPONENTIAL Europe offered a view into how the unmanned systems…
A 35-year career, the completion of 3DEP, and what comes…
SAM Achieves IS-BAO Certification, Strengthening Safety Culture and Expanding Aviation…
Written by the Alluxa Engineering Team An analytical approach to…
At Lidar News, we’re always eager to share developments that…
LiDAR in Transportation: National Academies Publish New Report The National…
Written by Robert Greenhalgh (BSc, University of Leeds, UK), a…
By Barry Bassnett, Liverpool, UK – July 2025 Barry has…
Lidar News is hosting a free expert panel webinar on…
Bridger Photonics Rolls Out Offshore Drone-Based Methane Detection Bridger Photonics…
BCIT to Host Surveying and Geomatics Educators Society (SaGES) Conference…
Calibration or Static for Base Position Do you calibrate every…
In technical fields like surveying, geospatial data, and reality capture,…
USIBD Announces Acquisition of Scan to BIM University (STBU) from…
To Infinity and Beyond We take for granted today that…
Leveraging the USIBD Level of Accuracy (LOA) v3.1 to Enhance…
USIBD Announces the Release of LOA Specification Version 3.1 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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