The USGS 3DEP program has added a powerful new dynamic map service capability to
Elevation aspect map rendered in the 3DEP Demonstration Elevation Viewer.
make it much simpler to investigate the range of products that can be generated on demand from the digital elevation data. The dynamic map service can generate multi-resolution visualizations on-the-fly. Some, like the map on the right of the Finger Lakes area of New York are works of art.
Posted in 3D Modeling, airborne LiDAR, Data, Government, Mapping, remote sensing, Research, Software
Tagged Demonstration Elevation Application, dynamic map service, National Map, national map viewer, USGS 3DEP, WCS, WMS
Point Cloud Created Using a Quanergy Lidar Sensor
In this extensive article by Bloomberg entitled, How a Billion – Dollar Autonomous Vehicle Start-up Lost its Way, the authors present a case that Quanergy is experiencing problems with its manufacturing, ability to retain key people and overall focus. This is the first big name in the lidar for autonomous vehicles space to be identified as having problems, but it may not be the only one.
Posted in 3D Modeling, AI, artifical perception, Autonomous vehicles, Business Development, machine learning, Mapping, Mobile LiDAR, Sensors, solid state lidar
Tagged Bloomberg, Louay Eldada, Quanergy
Potree render of Grand Canyon
Thanks to Matt O’Banion at West Point and Mike Olsen at OSU for the heads up on Potree – a free, open-source, WebGL based point cloud renderer for large point clouds, developed at the Institute of Computer Graphics and Algorithms, TU Wien University in Vienna, Austria.
Potree was developed by Markus Schuetz for his Thesis in visual computing. That is a program that I wish more people had the opportunity to get involved with as it looks like the Institute at TU Wien is a leader in visualization, rendering and modeling.
Normal Variation Analysis
The process of point cloud segmentation groups points with similar attributes such as geometric, colormetric, radiometric, and/or other information to support Terrestrial Laser Scanning (TLS) data processing such as feature extraction, classification, modeling, analysis, and more.
From the Abstract by Erzhuo Che and Michael J. Olsen, Oregon State University
Posted in 3D Modeling, Data, point clouds, Research, Software
Tagged angular grid structure, Erzhuo Che, feature extraction, Michael Olsen, Multi-scan segmentation, Oregon State University, terrestrial laser scan data
LeddarTech Solid State Lidar in Action
This is a very important milestone for LeddarTech based in Quebec City, Canada and the autonomous vehicle market worldwide. The firm announced today that they had delivered the first A-samples of its LeddarCore LCA2 system-on-chip (SoC) to select automotive partners, which will be publicly disclosed at a later date this year. Continue reading
In a landmark development, geospatial industry leaders from across the world came together to announce the formation of the World Geospatial Industry Council – WGIC. The announcement was made on August 1, 2018 at the 8th session of the UN-GGIM (United Nations Global Geospatial Information Management ) held in New York, by Jack Dangermond, Chairman of WGIC and Founder and President, Esri. Now that I think about it I wonder what took Jack so long to do this.
Courtesy of Bentley Systems
I was not able to attend the last two Bentley Systems Year in Infrastructure Awards, but I will be making up for it this year as I am a juror on three categories including Reality Modeling. As I have said before this is nirvana for a civil engineer – the very best of the projects worldwide. All of the finalists receive an all expenses paid trip to London. Continue reading
Posted in 3D Modeling, BIM, Business Development, Conferences, Construction, Software, Technology, The Industry
Tagged Bentley Systems, CAD, London, Microstation, The Year in Infrastructure 2018
Ford may be having trouble making money selling cars, but its F-150 pickup is the best selling vehicle in the world! That’s not a typo.
To stake their claim to be a leader in electrified, autonomous ride services they announced last week the launch of Ford Autonomous Vehicles LLC. Uber and Lyft take notice.
Posted in artifical perception, artificial intelligence, Autonomous vehicles, Business Development, computer vision, Consumer, Research
Tagged electrification, F150, Ford, Ford Autonomous Vehicles LLC, mobility