OTHER
Sonar and Video Data Fusion for Robot Localization and Environment Feature Estimation
Andrea Bonci, Gianluca Ippoliti, A. La Manna, Sauro Longhi, L. Sartini
- Year
- 2006
- Citations
- 5
Abstract
In this paper the localization and environment feature estimation problems are formulated in a stochastic setting, and an Extended Kalman Filtering (EKF) approach is proposed for the integration of odometric, video camera and sonar measures. The environment is supposed to be only partially known, and a probabilistic method for sensory data fusion aimed at increasing the environment knowledge is considered.
Keywords
SonarComputer visionComputer scienceSensor fusionArtificial intelligenceKalman filterExtended Kalman filterFeature (linguistics)Simultaneous localization and mappingProbabilistic logic
Related papers
OTHER
📊 26,957 cites
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
PERCEPTION
📊 22,245 cites
Artificial intelligence: a modern approach
1995
OTHER
Open access📊 20,501 cites
Fractional Differential Equations
Igor Podlubný
2025
OTHER
📊 18,993 cites
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991