Category Archives: AI

Artificial Intelligence Applied to Lidar Data – A RIEGL Podcast

Posted on September 23, 2020 by lidar

In this installment of the RIEGL RiCAST, Michael Sitar, RIEGL USA’s Executive Management Consultant speaks with Nick Ferguson, VP of Strategy & BD from Enview Inc. about artificial intelligence. Enview Inc. offers data analytics and remote sensing solutions. The company … Continue reading →

Posted in 3D Modeling, AI, artificial intelligence, Business Development, Data, Laser Scanning, Lidar, point clouds, Research, Software, Young Geospatial Professional | Tagged , , , , | Leave a comment

AI is Unlocking the Potential of Lidar Point Clouds

Posted on September 19, 2020 by lidar

When it comes to big data, LIDAR is right up there with the biggest generators. But outside of a few niche use cases, LIDAR–which uses lasers to build a three-dimensional model of physical objects–has not been widely adopted. Now, a … Continue reading →

Posted in 3D Modeling, AI, airborne LiDAR, artifical perception, artificial intelligence, Business Development, computer vision, Data, Deep Learning, Laser Scanning, Lidar, machine learning, Mapping, Marketing, point clouds, Research, Software, Visualization | Tagged , , , | Leave a comment

Cruise Announces the Continuous Learning Machine

Posted on September 18, 2020 by lidar

Driverless startup Cruise today detailed a homegrown tool — the Continuous Learning Machine — that tackles on-the-road prediction tasks. Cruise claims the Continuous Learning Machine, which automatically labels and mines training data, allows some of the AI models guiding Cruise’s … Continue reading →

Posted in 3D Modeling, AI, artifical perception, artificial intelligence, Autonomous vehicles, Business Development, Consumer, Data, driverless vehicles, Lidar, point clouds, Research, Technology, The Industry, Visualization, Young Geospatial Professional | Leave a comment

Waymo Lidar Guru Explains Why He Returned to California

Posted on September 16, 2020 by lidar

When Simon Verghese moved east for a postdoctoral spot at MIT, the UC Berkeley-trained physicist figured on being back in California before too long, but then Waymo started calling. “I thought it would be two years,” he said in an … Continue reading →

Posted in 3D Modeling, AI, artifical perception, artificial intelligence, Autonomous vehicles, Cloud, computer vision, Consumer, Data, Deep Learning, driverless vehicles, Hardware, Lidar, point clouds, Research, Sensors, Software, solid state lidar | Tagged , , , , , | Leave a comment

Sensor Fusion Makes Sense for Autonomous Vehicles

Posted on September 13, 2020 by lidar

The automotive industry remains divided on the sensor configuration needed to support autonomous driving. Tesla is resolute that cameras and radar systems will be sufficient, yet both systems have their shortcomings. Harman, a Samsung company believes safe automated and autonomous … Continue reading →

Posted in AI, artifical perception, artificial intelligence, Autonomous vehicles, Business Development, computer vision, Consumer, driverless vehicles, Laser Scanning, Lidar, point clouds, Radar, Research, Safety, Sensors, Software, solid state, solid state lidar | Leave a comment

Skanska is Using 3D Laser Scanning to Inform and Connect

Posted on September 10, 2020 by lidar

Skanska, one of the world’s largest construction firms has intergrated 3D laser scanning into their core workflows and that of their subcontractors. This is from an article in The Architects Newspaper. The Swedish multinational construction and development company Skanska is … Continue reading →

Posted in 3D Modeling, AI, BIM, Business Development, Construction, Data, Hardware, Indoor Mapping, Infrastructure, Inspection, Laser Scanning, Sensors, Software, Surveying, Surveying Engineering, virtual reality, Visualization | Tagged , , , , , , | Leave a comment

AEC to BE – Do You Have the Skills to Make the Transition?

Posted on September 9, 2020 by lidar

I suppose the mega-trend that sums up all of what is taking place concerning the transition from AEC to BE is digital transformation, but it sure feels like a lot more. Maybe the idea of Smart Cities sums it up … Continue reading →

Posted in 3D Modeling, 3D Printing, AI, artifical perception, artificial intelligence, Augmented reality, Autonomous vehicles, BIM, computer vision, Construction, Digital Transformation, Environmental, Infrastructure, intelligent cities, Internet of Things, machine learning, Mapping, satellites, smart cities, Technology, UAS, UAVs | Tagged , , , , | Leave a comment

Cleaning of 3D Laser Scans with Machine Learning

Posted on September 7, 2020 by lidar

In this article, we introduce a semi-automated cleaning of 3D laser scans approach that incrementally trains a random forest (RF) classifier on an initial keep/discard point labeling generated by the user when cleaning the first scan(s). The classifier is then … Continue reading →

Posted in 3D Modeling, AI, artificial intelligence, Cloud, computer vision, cultural heritage, Data, Historic Preservation, Laser Scanning, Lidar, machine learning, point clouds, Research, Software | Tagged , , , | Leave a comment

Rapid Archaeology Supported by Airborne Lidar

Posted on September 6, 2020 by lidar

Archaeologists in Scotland, using what some are referring to as rapid archaeology have concluded a cutting-edge project which has revealed around 1,000 previously unknown sites on the Isle of Arran. From an article in Ancient Origins by Ashely Cowie. There … Continue reading →

Posted in 3D Modeling, Agriculture, AI, airborne LiDAR, archaeology, artifical perception, artificial intelligence, cultural heritage, Deep Learning, Government, Historic Preservation, Lidar, machine learning, Mapping, Photogrammetry, remote sensing, Research | Tagged , , , , , , , | Leave a comment

Autonomous Vehicle Annotated Lidar Data Set for Simulation

Posted on September 4, 2020 by lidar

Roughly a year ago, Scale and NuTonomy released an autonomous vehicle data set called NuScenes that they claimed at the time surpassed corpora like KITTI, Baidu’s ApolloScape, and the Udacity Self-Driving Car library in size, scale, and accuracy. Since then, … Continue reading →

Posted in 3D Modeling, AI, artifical perception, artificial intelligence, Autonomous vehicles, Business Development, computer vision, Consumer, Data, driverless vehicles, Feature Extraction, Laser Scanning, Lidar, Mobile LiDAR, Research, Safety, Sensors, Visualization, Young Geospatial Professional | Tagged , , , , , , , , | Leave a comment