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Category Archives: Mapping
Apple Will Use Lidar to Create Competitive Advantage
Apple will use LiDAR this year as a compelling story for iPad Pro, and we expect, iPhone 12 later this year. LiDAR works similarly to the front-facing TrueDepth sensor, but rather than being optimized for the face, it allows users … Continue reading
Posted in 3D Modeling, AI, AR/VR, Augmented reality, Consumer, Hardware, Indoor Mapping, Laser Scanning, Lidar, Mapping, Marketing, point clouds, Sensors, Technology, The Industry, Visualization
Tagged 5G, Android, Apple iPadPro, Apple Watch, ARKit 3.5, Google, iPhone 12, Kinect, PrimeSense, Tango
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Continuous Time SLAM – How does it work?
GeoSLAM is a world leader in the development and use of Simultaneous Location and Mapping technology, or SLAM. They have developed an informative infographic that explains why SLAM is needed and how it can be used to benefit customers when … Continue reading
Posted in 3D Modeling, AI, BIM, Business Development, Cloud, Consumer, geodetic, Geomatics, GPS, Hardware, Indoor Mapping, Infrastructure, Inspection, Laser Scanning, Lidar, Mapping, Marketing, point clouds, Robots, Sensors, SLAM, Software, Technology, Young Geospatial Professional
Tagged Continuous Time SLAM, GeoSLAM, trajectory
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How to Select a Building Documentation Professional
There are two important announcements from the USIBD this week. The first is the availability of a free white paper with advice on how to select a building documentation professional. The second is you can register now for the USIBD … Continue reading
Posted in 3D Modeling, BIM, Business Development, Conferences, Construction, Data, Education, Historic Preservation, Indoor Mapping, Laser Scanning, Mapping, Marketing, Orgs, point clouds, Standards, The Industry, training
Tagged BIMForum, building documentation, COBie, USIBD, white paper
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Recovering Missing Trajectory From Point Cloud
Trajectory data are often used as important auxiliary information in preprocessing and extracting the target from mobile laser scanning data.However, the trajectory data stored independently may be lost and destroyed for various reasons, making the data unavailable for the relevant … Continue reading
Vegetation Classification Using Lidar and Hyperspectral
Abstract: The sparse canopy cover and large contribution of bright background soil, along with the heterogeneous vegetation types in close proximity, are common challenges for dryland vegetation classification with remote sensing. Consequently, the results of a single classification algorithm or … Continue reading
Posted in 3D Modeling, Agriculture, airborne LiDAR, Data, Environmental, Forestry, Lidar, Mapping, Photogrammetry, point clouds, remote sensing, Research, Sensors
Tagged canopy, classification, dryland vegetation, hyperspectral, optical, structural
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Hydrographic Survey International Summer School
Hydrographic data are one of the central components of a marine geospatial data infrastructure. Thus, they are an essential cornerstone of researches and initiatives conducted in the maritime sector. From an economic standpoint, they are used in many fields related … Continue reading
Posted in 3D Modeling, airborne LiDAR, bathymetric, Conferences, Data, Education, Geomatics, Government, Hydrographic LiDAR, Lidar, Mapping, remote sensing, Research, Sensors, Software, The Industry, topography, Visualization, Young Geospatial Professional
Tagged bilingual, COMREN, Laval Univ, multibeam
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Real Time Vehicle Detection Framework for AVs
Real time vehicle detection is essential for driverless systems. However, the current single sensor detection mode is no longer sufficient in complex and changing traffic environments. Therefore, this paper combines camera and light detection and ranging (LiDAR) to build a … Continue reading
Posted in 3D Modeling, AI, artifical perception, artificial intelligence, Autonomous vehicles, Business Development, Consumer, Data, driverless vehicles, Feature Extraction, Hardware, Laser Scanning, Lidar, Mapping, Mobile LiDAR, point clouds, Research, Technology, Young Geospatial Professional
Tagged Data Fusion, Dempster-Shafer, KITTI, School of Electronics and Control Engineering, Waymo Open Dataset, You Only Look Once
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