Tag: Transportation
For many people, LiDAR is still strongly associated with autonomous…
XPONENTIAL 2026 Detroit brought together leaders from across the unmanned…
The reconstruction of the Ashaiman Roundabout to Akosombo Junction section…
The City of Alcoa and the Alcoa City School District…
By Randy Allen, Senior Survey Project Manager and Lidar Mapping…
IM Motors Automotive Vision with 3D Lidar The IM Motors…
XenomatiX, winner and finalist of many awards in the geospatial…
LiDAR in Transportation: National Academies Publish New Report The National…
Advances In LiDAR And Radar Accelerate Driving Autonomy – Forbes…
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…
Originally constructed in 1866 and reconstructed in 1906, the Susquehanna…
Mark Rober, a former NASA engineer and renowned science communicator,…
SBG Systems Introduces New GNSS Receiver Variants for Navsight, Apogee…
Mercedes-Benz Partners with Hesai Lidar Hesai Technology, a Shanghai-based leader…
The Benefits of Solid-State Lidar Solid-state lidar is one of…
David Hall, Founder of the Lidar Industry, Launches a New…
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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