PointCloud Processing: Business and Technical Considerations in 2023, Plus the added value of GIS
1. Introduction from The Map Lady Maps as My Medium
1.1. Geospatial Technology Outfitter
1.2. Mobile LiDAR Products & Services since 2017
1.3. Commercial Deployment of autonomous SLAM+GNSS Mobile mapping system w/ proper projections for interoperable application
1.4. Reseller, Reseller Support, Senior Solutions Architect, Applications Engineer, Retained Consultant for myself, manufacturers, end users
1.5. Maps as my Medium- Geospatial Problem Solving in countless verticals
1.6. Masters in Geographic Inf. Systems from University of Arizona (2018, Suma cum Laude) Undergrad and Certificate work in Environmental Assessment, Land Use & Impact Analysis, Urban and Regional Planning,
2. Room for Technical Innovations
2.1. New Topic
3. What is PointCloud Processing?
3.1. Is it the procedures to Output a single pointcloud dataset for your AOI, from a hardware device?
3.1.1. What if there’s Multiple hardware devices/ sensor integration?
3.1.2. Terrestrial LiDAR systems requiring registration?
3.1.3. Maintaining or removing various scalars from hardware components
3.1.4. Metadata?
3.1.5. Data format?
3.1.6. Normal Calculations?
3.1.7. Interpreted Scalars and regular channel inputs?
4. There is a big difference between the Mobile Lidar Data Derivatives needed by the decision makers in the office, compared to the boots (with the glasses) on the ground. What is appropriate, what do we need to do to get there, and how is this shaping the market? With a shift in who is creating pointcloud data and using lidar systems, the fields in which this data and post processed derivatives is utilized, and no clear consensus on standardization… yet… there is a demand for creative software and tools…still! Many commercial solutions are designed for aerial lidar, or BIM with no real world coordinates… all of the best programs still have their shortcomings… and its quite probable that the teammate you need to explain that the most to has no idea what you are talking about. With some notes on data management, my never ending call for interoperability, and an arrow pointing to day 1 of GIS or RS 101, my presentation will direct your thoughts to the intro course that told you about spectral and spatial patterns, the first rule of geography, and why there is a 'red exclamation point' next to your broken file path. A walk along the Data>Information>Knowledge trail will also assist in processing mobile lidar pointclouds down to their appropriate product… unless they are being built up to an immersive AR/VR/XR experience to be shared via… "wait how are we sharing this massive data?" Taylor Handschuh, The Map Lady, LLC
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6. What is PointCloud Processing?
6.1. Grouped by Hardware Source
6.1.1. Aerial LiDAR
6.1.1.1. Predominantly Available Prepackaged as classified, geolocated tiles
6.1.1.2. 3DEP Initiative cintinued and still rolling
6.1.1.3. LiDAR Base Standard
6.1.2. Terrestrial LiDAR
6.1.2.1. Registration of multiple captures
6.1.2.2. RGB Assignment
6.1.3. Mobile LiDAR
6.2. By Data Derivative/Application
6.2.1. Scan to BIM
6.2.2. Georeferenced Pointcloud
6.2.3. Autonomus navigation/machne control
6.3. Processing V. 'PostProcessing'
6.3.1. Is it filtering out noise, cleaning outliers, or iterative automatic or manual registration or reprocessing with different settings?
6.3.1.1. What about processing and post processing?
6.3.1.2. Is it where the hardware manufacturer’s procedures reach to?