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© 2014 – Bochum University of Applied Sciences
ENHANCEMENT OF THE NAVIGATIONDATA QUALITY OF AN AUTONOMOUSFLYING UNMANNED AERIAL VEHICLEFOR USE IN PHOTOGRAMMETRY
Heinz‐Jürgen PrzybillaManfred Bäumker, Alexander Zurhorst
© 2014 – Bochum University of Applied Sciences
Content
Introduction Technical aspects of the Mikrokopter system Examination of positioning sensors
– Actual status of positioning quality using low‐cost GPS sensors
– Enhancements of positioning quality
Photogrammetric applications Conclusions
© 2014 – Bochum University of Applied Sciences
Introduction
Nowadays Unmanned Aerial Vehicles/Systems (UAV/UAS) are beyond the stage of testing.
Since 30 years they have been used for a wide spectrum of applications.
© 2014 – Bochum University of Applied Sciences
History…1979/80
Schlüter Photohelicopter
Pilot andNavigator
© 2014 – Bochum University of Applied Sciences
History…1979/80
First Tests
Hamburg ISP‐Congress 1980
© 2014 – Bochum University of Applied Sciences
History…1979/80
Above: Archeologicaldocumentation, CologneLeft: North Sea tideland
© 2014 – Bochum University of Applied Sciences
Introduction
Reasons for this fact are the enormous developments in consumer‐electronics needed for the operating of a copter, available in conjunction with low fees.
The „MikroKopter“ system is developed under the assistance of an internet community.
All electronic components used are standard products, fixed together to an efficient and low‐prize UAV.
© 2014 – Bochum University of Applied Sciences
Introduction
The main focus for using the copter at HS BO are photogrammetric applications.
These requirements derive the enforcement of high quality images and precise nagivation.
Actually a typical GPS‐sensor (used in low‐cost systems) achieves a differential GPS quality of• 1‐2m in horizontal and• 3‐5m in vertical direction
© 2014 – Bochum University of Applied Sciences
Introduction
Aims of the investigation: Enhancing GPS‐navigation by implementing a realtime kinematic GPS solution.
Testing of alternative photogrammetric techniquesfor image orientation and processing.
© 2014 – Bochum University of Applied Sciences
The Mikrokopter Project
Completely documented under the Web Site www.mikrokopter.de .
A matter of do‐it‐yourself project. Actually three MikroKopter systems are available for the investigations: – an Oktokopter of the HS BO and – a Hexakopter and a Hexakopter XL of the project partner Aerometrics (www.aerometrics.de).
© 2014 – Bochum University of Applied Sciences
The Mikrokopter ProjectParameter Value
Number of rotors:
4 – 12
Actual load: 250 g – 1000 g
Weight: 650 g – 1700 g
Flying time: 7 – 12 min
Distance: Visual range
Flying height: Max. 350 m (technically reliable)
Power supply: Lipo 11,1 V – 14,8 V
Sensors: Gyroscopes, accelerometers, compass, GPS, barometric altimeter
© 2014 – Bochum University of Applied Sciences
Sensors
GPS-Module
Navi-Control
Flight-Control
Telemetry-ModuleBrushless-Controller
© 2014 – Bochum University of Applied Sciences
Mikrokopter ‐ Flightcontrol3 MEMS-GyrosADXR 610
Air pressure sensor MPX4115A
3-axis accelerometer
LIS344 ALH
© 2014 – Bochum University of Applied Sciences
Camera (Ricoh GXR)
© 2014 – Bochum University of Applied Sciences
Aerial flight with operating altitude of 100m
Camera: Ricoh GXR, f=18mm)
© 2014 – Bochum University of Applied Sciences
Aerial flights with operating altitude of 50m
Camera: Ricoh GXR, f=18mm)
© 2014 – Bochum University of Applied Sciences
Oblique image of an electric tower
Camera: Ricoh GXR, f=18mm)
© 2014 – Bochum University of Applied Sciences
Examinationof Positioning Sensors u‐blox GPS receiver: LEA‐6S/6T
(horizontal positioning information) 50 channels (GPS‐L1/CA‐Code, GALILEO OS). SBAS‐option (satellite based augmentation system) to
acquire the correction signals of WAAS, EGNOS or MSAS.
At the Bochum location signals of the two EGNOS (European Geostationary Navigation Overlay System) satellites Inmarsat AOR‐E and IOR‐W are available and used to calculate a differential GPS position.
© 2014 – Bochum University of Applied Sciences
Examinationof Positioning Sensors
u‐blox receivers as part of the GPS circuit board. Left: board surrounded by a protection shield to enhance GPS signal
© 2014 – Bochum University of Applied Sciences
FlightcontrolFlightdata (Position, Height, Speed, Camera-triggering etc.) via 868 MHz-
Telemetry
Realtime-image via 5.8 GHz-transmitter with tracking antenna –
usable for FPV-flight with video-glasses
(FPV = First Person View)
Ground Station
© 2014 – Bochum University of Applied Sciences
Testfeld Hochschule Bochum
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Easting
North
ing
Passpunkt
23 Reference-points ETRS89
Signalisation with air visibletargets
Systemtest at HS Bochum Testfield
© 2014 – Bochum University of Applied Sciences
Systemtest at HS Bochum Testfield
Tracking TachymeterTrimble S6
© 2014 – Bochum University of Applied Sciences
Miniprism fixed on camera-frame for automatic tracking with Trimble S6
Systemtest at HS Bochum Testfield
© 2014 – Bochum University of Applied Sciences
GPS Capability Approval
To check the performance of the GPS‐sensor diverse test were carried out: Long term measurements at a reference station (static)
Short term measurements at known ground control points (static)
Short term measurements during flight over a known ground control point (dynamic)
Aerial flights with operating altitude of 50m and 100m (dynamic)
© 2014 – Bochum University of Applied Sciences
Short term measurements during flight over a known GCP (dynamic*)
* Copter‐Tracking with tachymeter Trimble S6
© 2014 – Bochum University of Applied Sciences
Aerial flight with operating altitude of 50m (dynamic)
© 2014 – Bochum University of Applied Sciences
The quality of positioning varies with a mean deviation from 3 – 4 m, not considering some outliers of more than 10 m.
As a consequence of these effects the planned overlapping of adjacent images often exceeds a tolerable limit.
Actual status of positioning quality
© 2014 – Bochum University of Applied Sciences
Solution: integration of high performance GPS positioning using real‐time kinematic (RTK) technologies.
Requirements: Availability of an appropriate GPS‐receiver and of an applicabale software system
These requisitions could be met.
Enhancements of positioning quality
© 2014 – Bochum University of Applied Sciences
Equipment used for presented test:– One‐frequency receiver of u‐blox series (LEA‐6T) in combination with an own reference station
– RTK‐calculations performed with RTKLIB, an open sourceprogram package for GNSS positioning
Under way are tests with a two‐frequency receiver(however it is much more expensive, with a priceratio of 140€ : 2500€)
Enhancements of positioning quality
© 2014 – Bochum University of Applied Sciences
Distributed free of charge under GNU GPL v3‐license.
It supports standard and precise positioning algorithms with GPS, GLONASS, SBAS, GALILEO (which is enabled but not supported in current version) and QZSS (Japan).
Various positioning modes with GNSS for both real‐time and post‐processing (Single‐point, DGPS/ DGNSS, Kinematic, Static, Moving‐baseline etc.).
RTKLIB Features
© 2014 – Bochum University of Applied Sciences
A wide range of standard formats and protocols for GNSS can be processed, like RINEXi, RTCMx, as well as the proprietary messages of several GNSS receivers.
The external communication interface supports serial, TCP/IP, NTRIP and FTP/HTTP protocols.
All in all RTKLIB is a high‐tech solution and predestinated for a low‐cost UAV‐system.
RTKLIB Features
© 2014 – Bochum University of Applied Sciences
The u‐blox raw‐data are sent to the ground control station via telemetry.
Realtime calculations of the RTK‐solutions are carried out with RTKLIB.
(Raw‐data of the UAV u‐blox as well as those of the reference station are stored for additional post‐processing.)
RTK‐positions are transferred back to the UAV flight‐control via telemetry.
Test scenario “Autonomous RTK‐Flight”
© 2014 – Bochum University of Applied Sciences
Enhancements of positioning quality
Reference station with JAVAD Triumph‐1 G3T (left). RTKLIB screenshot (right)
© 2014 – Bochum University of Applied Sciences
Enhancements of positioning quality
Accuracy of realtime calculations with RTKLIB while positioning the u‐blox sensor at the test field
red: single GPS‐solution: 5 m – 20 morange: float‐solution: 0.1 m – 1.0 mgreen: fixed‐solution: 0.02 m – 0.1 m (first test: 90% of time)
© 2014 – Bochum University of Applied Sciences
With the exception of the initiation phase (lasting 30 seconds) the RTK processing software calculates either a fixed solution or a float solution.
Instead of an own references station it is possible to use the data of a foreign reference station or a reference service like the German SAPOS HEPS‐Service.
Suitable tests will be carried out in the next weeks.
Enhancements of positioning quality
© 2014 – Bochum University of Applied Sciences
Conclusions
Navigation accuracy is a critical parameter for a successful operation of UAVs.
The actual DGPS accuracies have to be improved. RTK‐GPS is a usable technology but requires further technical developments.
A partial direct georeferencing for UAV sensors (concerning their position in space) is realisable.
© 2014 – Bochum University of Applied Sciences
Conclusions
Aerial flight with UAVs – in context with classicalimage overlapping – suffers from insufficientnavigation quality.
As a result the overlapping ratio has to beincreased considerably.
Recently available software products for theorientation of „large unordered image collections“ show encouraging results in generating spatialpoint clouds with „pleasant“ geometric quality.