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STORMBEE [Shared]

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Ali Alatas

on 7 March 2018

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Transcript of STORMBEE [Shared]

STORMBEE
LEAD DEVELOPERS
Michael Daris
Drone pilot & instructor >20 years
Pioneer in Belgian UAV services: aerial photo, video, photogrammetry, thermography, ...
Supplier of custom-made drone platforms
Jean-Philippe Van Damme
Masters in aeronautical engineering
High-tech systems engineer > 10 years
Specialties:
complex mechatronics systems
extreme accuracy
industrial drone development
Leading specialist engineers
Liesbeth Buyck
Pioneer in 3D laserscanning for industrial applications (Think 3D)
8 years experience
Specialist in basic and detail engineering with scandata
Founder of Stormbee
Extended team
Mechanical engineer
Electronics engineer
Software development team
Pointcloud data processing & optimization algorithm developer
HISTORY
Start up 2010 think 3D
2nd service provider in Belgian market who bought FARO scanner
Focus on industrial market clients such as Monsanto, Total, Tienen Sugar, Good Year, Arcelor Mittal, Callebaut, Umicore
THINK
DRONE
On request of the industrial market - Introduction of the UAV for inspection purposes and volume measurements
Testing UAV in industrial environment - Negative and positive attitude of people, the feeling of unsafety, doubt, interference of signals in steel factory
PHOTOGRAMMETRY - 3D LASERSCANNING
Projects for volume measurement - Raw materials
On field : Use of GCP - Full automatic flight - Quick and easy
Postprocessing: Easy and slow
Quality for volume measurement : Perfect
Request of clients to measure bigger areas, for example positioning of buildings, tanks, ...
Expectation of a cheap, fast and accurate solution
But:
Fast post processing?? Accurate solution?? Always need of GCP??
Accurate enough to convert pointcloud to CAD model???
What with low contrast surfaces???
Problems with reflection and shadow??
COMBINATION
SCANNER - UAV
3D
Start development 2013
Goal of Scandrone:
How to reach maximum flight time - Maximum stability - Maximum accuracy - Reliable UAV solution???
Use of the experience of think drone
Double use of FARO scanner - static and airborne
Quick - fast - accurate - easy in handling
No GCP - Reduction of post processing time
CONCEPT
Full CAD design, designed specifically for FARO scanners
Carbon-fiber frame
8 independent motors for redundancy and safety
Scanner can be attached / removed with only 4 screws
STORMBEE DRONE
AUTOPILOT
SYSTEM
Fully autonomous flight execution, including takeoff and landing
Easy mission planning with iPad control station
FARO
LIDAR
Well known high-quality compact Lidar
Millimeter-level ranging error
Usage in helical mode, such as for terrestrial mobile mapping
Easily bolted on/off for combined terrestrial / aerial use
Needed to geo-reference Lidar measurement points
Survey-grade RTK GNSS designed for (manned) aviation
<2cm position / 0.08° orientation error
Includes post-processing software suite for use without RTK ground station and optimum accuracy
No GCP needed!
TRIMBLE
GNSS
BEEFLEX
POINTCLOUD
GENERATION
Creates geo-referenced pointclouds from Lidar and GNSS data
Multiple strips can be selected and exported in E57 or LAS formats
Further post-processing possible with existing mobile mapping software
Result
Problem...solved.
Early Prototype (2016)
Resulting Pointclouds
High level of detail, robust for complex structures
Resulting Pointclouds
High level of accuracy
Resulting raw pointclouds (no post-processing)
These pointclouds represent 2 flights of 5 minutes each
All pointclouds are automatically geo-referenced (no GCP’s)
Resulting raw pointclouds (no post-processing)
Perfectly suited for vegetation measurements
Thanks for your attention
For more info or a demo of our workflow:
Come meet us at our booth!
http://www.stormbee.com
Stormbee Drone
Autopilot System
FARO Lidar
UNCORRECTED FARO SCAN DATA
This is what happens when you put your Faro scanner under a drone… oops!
Some magic is needed to straighten things up…
Trimble GNSS
Beeflex Software Pointcloud Generation
Final Product (2017)
WHY FARO?
Source: Stormbee testflight August 2017, raw output paved surface.
WHY FARO?
Source: Terrasolid Point Cloud intelligence 11.10.2016
Faro X330  factor >100 better noise!
Resulting raw pointclouds (no post-processing)
Unprecedented productivity: 150m x 150m area scanned within 2min 30sec
(Raw output shown, no post-processing done)
Pointclouds have grayscale values road markings visible
4.5cm
0.05cm
14.2cm
Full transcript