New Data Fusion Techniques for High-Precision Localization of Civil-Engineering Equipment
Explore this paper's citation graph
Summary
A new 3D dead reckoning method which integrates data from two inclinometers and an odometer is proposed which is based on dead-reckoning techniques updated by the exteroceptive measurements of SIREM using the Kalman filter formalism.
- Type
- article
- Published
- 1997-06-11
- Cited by
- 4
- References
- 9
- OpenAlex
- https://openalex.org/W24598382
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:7996756
Keywords
Inclinometer, Computer science, Sensor fusion, Azimuth, Kalman filter
References
- A Simulator for Road Construction Equipment
- Introduction to random signals and applied kalman filtering (3rd ed
- Gyroscope Free Strapdown Inertial Measurement Unit by Six Linear Accelerometers
- Real time determination of the location and speed of mobile robots running on non-planar surfaces
- Inertial navigation systems for mobile robots
- Mobile robot attitude estimation by fusion of inertial data
- Dead reckoning for a lunar rover on uneven terrain
- A 3-D position and attitude measurement system using laser scanners and corner cubes
Cited by
Related papers
- The azimuth error compensation for inclinometer based on gyrocompass
- Effect of the gyroplatform control error on the accuracy of the initial azimuth alignment of the gyro inclinometer
- The application of federated Kalman filtering in the information fusion technique
- Some remarks on Kalman filters for the multisensor fusion
- A Comparative Study of Different Kalman Filtering Methods in Multi Sensor Data Fusion
- Distributed multisensor data fusion based on kalman filtering and the parallel implementation
- Measurement Fusion Kalman Filters for Descriptor Stochastic Systems
- Application of Kalman Filter to Multisensor Fusion Technology
- A Effective Method for Data Fusion: Distributed Kalman Filter