1.
High-precision Positioning and Real-time
Data Processing of UAV-Systems
Matthes Rieke,
Theodor Foerster, Jakob Geipel, Torsten Prinz
Institute for Geoinformatics – University of Muenster
UAV-g 2011 Conference – September 16, 2011 – Zurich, Switzerland
http://purl.net/ifgi/copter

2.
Sensor platforms
● Current available UAV systems use common GPS receivers
● Not addressing use cases where high position accuracy is inevitable
● Creating orthophos using Direct Georeferencing
2 http://purl.net/ifgi/copter

3.
Approach for improving position accuracy
• Micro- or small-sized UAV systems
• Improvement using Real Time Kinematic
• Prototypical realization using a Microdrones md4-200
• Overview of the used hardware
• Conceptual design of data processing software
3 http://purl.net/ifgi/copter

4.
Teaser of the used hardware
4 http://purl.net/ifgi/copter

5.
Possible use case
• Improve/Enable Direct Georeferencing
• Currently limited due to several aspects
• Exterior orientation (e.g. low-cost GPS/GNSS, IMU)
• Alignment of time of image acquisition and positioning
 Focus on improving absolute positioning using advanced GNSS
techniques + timestamp synchronisation
• Stabilize flight trajectory
• Decrease the position delta between planned and actual image position
5 http://purl.net/ifgi/copter

6.
Improving position accuracy on-the-fly
REAL TIME KINEMATIC
6 http://purl.net/ifgi/copter

7.
Real Time Kinematic
• Specialized form of Differential GNSS
• Ground based Augmentation System
• Takes phase observations into account for error estimation
• Based on correctional signals from national services
7 http://purl.net/ifgi/copter

8.
Real Time Kinematic
• What do you need?
• In general: rather cost-intensive hardware
• GNSS receiver + antenna – processing of RTK corrections
• Radio modem (e.g. GPRS) to retrieve correction signals
• Processing unit for data communication
• Payload!
8 http://purl.net/ifgi/copter

9.
Real Time Kinematics
9 http://purl.net/ifgi/copter

10.
Benefitting from improved positioning
DATA PROCESSING
10 http://purl.net/ifgi/copter

11.
Software approach
● Software running on groundstation
● Support for different UAV platforms
● Synchronization of multiple data streams to enable
real-time measurement capabilities
● Modulized architecture to foster reusability
● Realized using Software Framework
11 http://purl.net/ifgi/copter

12.
Framework Approach
● Architecture
12 http://purl.net/ifgi/copter

13.
Framework Approach
● Synchronization of sensor streams
● Why synchronize streams?
● Knowledge of exact position at time
of image aquisition
● Currently: interpolation mechanism
● Abstract – easily adjustable for application
13 http://purl.net/ifgi/copter

14.
Framework Approach
● Basis is description of Plugin Behaviour
● Input/Output phenomena using XML descriptions
● When to determine a position?
14 http://purl.net/ifgi/copter

15.
Applying in real-world situations
RESULTS AND FUTURE WORK
15 http://purl.net/ifgi/copter

16.
Hardware integration
• Currently only DGPS receiver used
• Future work involves an RTK-enabled L1/L2 GPS/GLONASS
receiver
• Problem of moved centroid
• Hardware optimization
• Implementation of Direct Georeferencing workflow
• Move to md4-1000 to gain more payload
16 http://purl.net/ifgi/copter

17.
Hardware integration
17 http://purl.net/ifgi/copter

18.
Use case – precision farming
Monitoring Precision
workflow farming
Push-based
communication
18 http://purl.net/ifgi/copter

19.
Source Code available at:
19 http://purl.net/ifgi/copter

20.
WHAT IS MISSING?
20 http://purl.net/ifgi/copter

21.
Thank you for your kind attention!
Questions?
http://purl.net/ifgi/copter
Matthes Rieke – m.rieke@uni-muenster.de
21 http://purl.net/ifgi/copter