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Providing Actionable LiDAR Point Cloud Deliverables and the Inertial Labs RESEPI
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Providing Actionable LiDAR Point Cloud Deliverables and the Inertial Labs RESEPI - 1

Providing Actionable LiDAR Point Cloud Deliverables and the Inertial Labs RESEPI

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Providing Actionable LiDAR Point Cloud Deliverables and the Inertial Labs RESEPI - 2

What is a LiDAR Point Cloud? Therefore, the LiDAR is clearly just part of the solution, thus illustrating the need for additional sensors to produce a complete product. Components Overview A LiDAR point cloud is a collection of millions (even billions) of points that is used to accurately map an environment in a way similarly to how a pointillism painting creates a picture. Each of these points have a location in a known coordinate system (local or global), along with a value for intensity which quantifies the amount of light energy that is recorded by the scanner. A LiDAR point cloud is...

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Datums As noted before, a LiDAR point cloud is a collection of points that have locations shown in a known 3D coordinate system. But how do we know that these data points are accurately georeferenced? Datums help us to properly georeference data by using an accurate model of the globe that is most suited for the area it was developed for. A datum is a reference frame, a visual and mathematical representation of the Earth or area that is used for precise location measurements on Earth. This is integral for applications like remote sensing and surveying whose data is based in spatial...

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Providing Actionable LiDAR Point Cloud Deliverables and the Inertial Labs RESEPI - 4

While they are defined on a flat surface, all projection coordinate systems are based on either a sphere or spheroid coordinate system. Locations in a projected coordinate system are given linear "x" and "y" values representing easting and northing coordinates on a consistent and evenly spaced grid of values as shown below. The most common types of projections are conic, cylindrical, and planar. A projection is done by creating points or lines of contact called points or lines of tangency. In the case of a planar projection, only one point of tangency is required. Tangential cones and...

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Providing Actionable LiDAR Point Cloud Deliverables and the Inertial Labs RESEPI - 5

Point classification is the process of identifying the type of object that the point is reflecting off of. So, for instance if a laser pulse is reflected off a tree, then the resultant point could be classified as vegetation. Point classification categories can be as broad as ground vs. non-ground or it can be as specific as the type of structure/feature the laser pulse was reflected from. Used for Communication Infrastructure, Vehicle Classification, Building Inspection, Vegetation Management. Point classification algorithms group points together based off their spatial-based and echobased...

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This can provide valuable information for users that are looking to enact structures like highways or buildings in these areas. In the past, land managers had to rely on topographic maps for ground classification and field surveys to obtain tree volumes and height information. LiDAR Data and Post Processing of LiDAR Data allow users to obtain the following items: • Digital Elevation Models (DEM) • Tree heights and digital surface models • Crown cover • Forest structure • Crown canopy cover • Volume - Canopy geometric volume • Biomass - Canopy cover • Density – Height-scaled crown openness...

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How RESEPI Can Transform Your Business Construction Point clouds and subsequent models generated from RESEPI can be used to aid construction projects by providing information, analysis, and aiding in creating simulations when developing a project. This information can be used to determine repair and maintenance requirements for every project. With LiDAR's capability of producing multiple return data, RESEPI has the ability to penetrate vegetation and get ground points, even in covered areas. With this in mind, construction companies can plan ahead by retrieving a terrain map of a...

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Conclusion In summation, data collected by LiDAR can provide valuable metrics for a wide variety of applications. From topographic mapping, to asset inspection, to site monitoring, the Inertial Labs RESEPI is a quick and efficient way to generate models of an environment. Beyond just making a nice looking 3d model, LiDAR can provide actionable data that provides immediate value to any inspection or mapping service. With the advances in modern LiDAR data, data can be displayed in a way that is almost identical to how it appears in reality and provides comparable accuracy to field surveys....

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Providing Actionable LiDAR Point Cloud Deliverables and the Inertial Labs RESEPI - 9

About Inertial Labs Inc. Established in 2001, Inertial Labs is a leader in position and orientation technologies for commercial, industrial, aerospace and defense applications. Inertial Labs has a worldwide distributor and representative network covering 20+ countries across 6 continents and a standard product line spanning from Inertial Measurement Units (IMU) to GPS-Aided Inertial Navigation Systems (INS). With application breadth on Land, Air, and Sea; Inertial Labs covers the gambit of inertial technologies and solutions. Inertial Labs, Inc. 39959 Catoctin Ridge Street, Paeonian...

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