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Direct Geopositioning Accuracy using Loki

Author: Lewis Graham, January 10, 2018

Introduction

While our pr
imary goal is, of course, expanding our sUAS
based business, we realize this is a
long term transition and we have patience. We are more than willing to engage simply at the
discussion level while you decide if this technology fits your business model and
, if so, how to
form a road map to ensure a successful deployment.
This paper provides some background on what we have developed to date, the lessons that we
have learned and advice to companies considering adopting this new technology.

AirGon’s Loki is a direct geopositioning system that is compatible with DJI’s Inspire 2 drone, Phantom 4 Pro drone, and it’s m2xx series of drones, as well as generic drones with digital single lens reflex cameras.

A direct geopositioning system can make your drone mapping projects significantly more cost-effective and accurate due to its ability to reduce, or sometimes even eliminate the need for ground control. Direct geopositioning systems work by very accurately monitoring the position of a drone, synchronizing the position to camera events and recording information that can be used to provide a priori estimates of the camera location for each image captured.

This paper will provide you with a report on the accuracy of using Loki in an actual data collection scenario. In mid-November of 2017 we flew a limestone mine site with the goal of generating 1-foot topographic contours (“topo”) to be used for planning operations. For comparison, we luckily have 1-foot contours available that were produced in January of 2017 from high-accuracy airborne topographic LIDAR. These data give us the opportunity to explore the vertical conformance of the drone derived point cloud in areas of undisturbed ground throughout the project.

imary goal is, of course, expanding our sUAS
based business, we realize this is a
long term transition and we have patience. We are more than willing to engage simply at the
discussion level while you decide if this technology fits your business model and
, if so, how to
form a road map to ensure a successful deployment.
This paper provides some background on what we have developed to date, the lessons that we
have learned and advice to companies considering adopting this new technology.

To read the entire white paper download here

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