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I was recently asked to poll the readers for opinions on the lifespan of a typical airborne LiDAR system. I imagine this is a difficult question to answer, but feel free to provide your assumptions and qualifiers.
I just noticed that there is a similar discussion taking place within the LinkedIn LiDAR group.
For many people, LiDAR is still strongly associated with autonomous vehicles: cars scanning roads, detecting…
Accuracy Isn’t a Setting LiDAR technology has transformed the way existing conditions are captured across…
As consolidation reshapes the industry, the future of lidar and 3D sensors is increasingly being…
This article covers new MIT research that brings non-line-of-sight imaging capabilities to affordable consumer-grade lidar…
The Utah Geological Survey is employing bathymetric lidar to peel back the brine of the…
Recent research from MIT News exploring advances in optical phased arrays and silicon photonics points…
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…
