Publikationen
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- 2014Learning Weighted Joint-based Features for Action Recognition Using Depth CameraGuang Chen, Feihu Zhang, Daniel Clarke, Christian Buckl und Alois Knoll
In
The 9th International Conference on Computer Vision Theory and Applications(VISAPP),
DetailsBIB
- 2014Multiple Vehicle Cooperative Localization with Spatial Registration Based on a Probability Hypothesis Density FilterFeihu Zhang, Christian Buckl und Alois KnollSensors,
14(1):995–1009,
2014.
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- Dezember 2013Learning to track multi-target online by boosting and scene layout.Guang Chen, Daniel Clarke, Feihu Zhang und Alois Knoll
In
In The 12th International Conference on Machine Learning and Applications (ICMLA13),
IEEE.
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- 2013A Lane Marking Extraction Approach based on Random Finite Set StatisticsFeihu Zhang, Hauke Stähle, Chao Chen, Christian Buckl und Alois Knoll
In
Intelligent Vehicles Symposium (IV), 2013 IEEE,
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- 2013Cumulative Error Estimation from Noisy Relative MeasurementsFeihu Zhang, Carsten Simon, Guang Chen, Christian Buckl und Alois Knoll
In
16th International Conference on Intelligent Transport Systems (ITSC),
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- 2013Multiple Vehicle Cooperative Localization Under Random Finite Set FrameworkFeihu Zhang, Hauke Stähle, Guang Chen, Christian Buckl und Alois Knoll
In
IEEE/RSJ International Conference on Intelligent Robots and Systems,
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- Oktober 2012Single Camera Visual Odometry Based on Random Finite Set StatisticsFeihu Zhang, Hauke Stähle, Andre Gaschler, Christian Buckl und Alois Knoll
In
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS),
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- September 2012A Sensor Fusion Approach for Localization with Cumulative Error EliminationFeihu Zhang, Hauke Stähle, Guang Chen, Gang Chen, Carsten Simon, Christian Buckl, Alois Knoll und Gerhard Schrott
In
Proceedings of 2012 IEEE International Conference on Multisensor Fusion and Information Integration (MFI 2012),
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- 2012Visual Odometry based on Random Finite Set Statistics in Urban EnvironmentFeihu Zhang, Guang Chen, Hauke Stähle, Christian Buckl und Alois Knoll
In
Intelligent Vehicles Symposium (IV), 2012 IEEE,
DetailsURLDOIBIB
