Abstract
This paper concerns localisation of an autonomous tractor in an orchard environment, with the purpose of designing a localisation solution to be compared with GPS. The localisation is based on an estimate found by an extended Kalman filter, which fuses measurements from encoders and gyro with row measurements provided by a laser scanner.
Kalmtool is used as a toolbox for developing the localisation algorithm. The result shows that the toolbox can be used successfully for dealing with localisation and sensor fusion.
Original language | English |
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Title of host publication | Proceeding of 15. IFAC Symposium on System Identification, SYSID 2009 |
Publication date | 2009 |
DOIs | |
Publication status | Published - 2009 |
Event | 15th IFAC Symposium on System Identification (SYSID 2009) - Saint-Malo, France Duration: 6 Jul 2009 → 8 Jul 2009 Conference number: 15 |
Conference
Conference | 15th IFAC Symposium on System Identification (SYSID 2009) |
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Number | 15 |
Country/Territory | France |
City | Saint-Malo |
Period | 06/07/2009 → 08/07/2009 |
Keywords
- Bayesian Methods
- Toolboxes