Transportation & Infrastructure
Musk hates lidar. Does it matter?
The autonomous driving world is still buzzing about Tesla’s “Autonomy Day” last month, where CEO…
Which UAS lidar system should you buy?
You don’t want to fall into the trap of choosing based on accuracy specifications.
Bentley’s AIworx acquisition brings better infrastructure management with machine learning and IoT
How machine learning can bring IoT and the digital twin to a whole new level of productivity.
Bentley announces mixed-reality construction visualization app for HoloLens 2
Construction visualization moves to the next dimension.
How RIEGL’s lidar solutions balance specialization and flexibility
How do you create tools that meet specific needs without losing flexibility?
nFrames: the two primary challenges of cutting-edge photogrammetry
nFrames’ SURE software handles huge amounts of data from hi-res sensors and intelligently blends lidar data into your mesh.
Compass Data: Everything you need for survey-grade geospatial drone capture
Wouldn’t it be great if someone would help you set up a drone capture system for geospatial applications?
Propeller PPK gets survey-grade data from a DJI drone… with one GCP
Enter here for high-accuracy, low-cost drone survey.
ILMF keynotes: AI data processing is maturing fast in other industries–but is it right for geospatial applications?
Geo Week 2019’s keynotes offered two important lessons in how to process huge amounts of data.
Emesent releases Hovermap, a payload that turns your UAV into a powerful autonomous mapper (that doesn’t need GPS)
Combine a single lidar sensor and five years of R&D, and you’ll get a UAV payload that gives your drone advanced autonomous mapping super powers.
RIEGL has the next-gen lidar for your airborne, UAV, and land-based scanning needs
RIEGL offers high-quality lidar solutions that are purpose-built for a wide range of demanding applications.
Allvision: Connecting digital twins and ultra-intelligent data processing to change how we consume mobile 3D
Allvision’s platform hopes to make it possible for anyone to process mobile lidar and imagery data at scale. “We want to make it pretty much idiot proof to extract information from huge amounts of sensor data.”