UB Paderborn / Katalog / Suche / in CDI

Switchable constraints for robust pose graph SLAM

2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012, p.1879-1884

2012

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Towards a robust back-end for pose graph SLAM

2012 IEEE International Conference on Robotics and Automation, 2012, p.1254-1261

2012

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Beyond RatSLAM: Improvements to a biologically inspired SLAM system

2010 IEEE 15th Conference on Emerging Technologies & Factory Automation (ETFA 2010), 2010, p.1-8

2010

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The causal update filter - A novel biologically inspired filter paradigm for appearance-based SLAM

2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010, p.3969-3974

2010

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A vision based onboard approach for landing and position control of an autonomous multirotor UAV in GPS-denied environments

2009 International Conference on Advanced Robotics, 2009, p.1-6

2009

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A fast visual line segment tracker

2008 IEEE International Conference on Emerging Technologies and Factory Automation, 2008, p.353-360

2008

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Approximation of Time-Varying Functions with Local Regression Models

Artificial Neural Networks — ICANN 2001, 2001, p.237-243

2001

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RoboKing - Bringing Robotics closer to Pupils

Proceedings of the 2005 IEEE International Conference on Robotics and Automation, 2005, p.4254-4259

2005

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Physics without laws-making exact predictions with data based methods

Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290), 2002, Vol.2, p.1673-1677 vol.2

2002

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Towards robust graphical models for GNSS-based localization in urban environments

International Multi-Conference on Systems, Signals & Devices, 2012, p.1-6

2012

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Predicting time-varying functions with local models

Intelligent data analysis, 2002, Vol.6 (3), p.257-265

2002

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Performance and fault-tolerance of neural networks for optimization

IEEE transactions on neural networks, 1993-07, Vol.4 (4), p.600-614

1993

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Computing iterative roots with second order training methods

IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222), 2001, Vol.1, p.629-632 vol.1

2001

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Cost-efficient mono-camera tracking system for a multirotor UAV aimed for hardware-in-the-loop experiments

International Multi-Conference on Systems, Signals & Devices, 2012, p.1-6

2012

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Finding the Optimal Continuous Model for Discrete Data by Neural Network Interpolation of Fractional Iteration

Artificial Neural Networks — ICANN 2002, 2002, p.1094-1099

2002

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Using the Unscented Kalman Filter in Mono-SLAM with Inverse Depth Parametrization for Autonomous Airship Control

2007 IEEE International Workshop on Safety, Security and Rescue Robotics, 2007, p.1-6

2007

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Generating fuzzy rules for the acceleration control of an adaptive cruise control system

Proceedings of North American Fuzzy Information Processing, 1996, p.451-455

1996

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Motion estimation for autonomous quadrocopter indoor flight

International Multi-Conference on Systems, Signals & Devices, 2012, p.1-6

2012

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Using image profiles and integral images for efficient calculation of sparse optical flow fields

2009 International Conference on Advanced Robotics, 2009, p.1-6

2009

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Genetically optimized neural network classifiers for bankruptcy prediction-an empirical study

Proceedings of HICSS-29: 29th Hawaii International Conference on System Sciences, 1996, Vol.2, p.419-426 vol.2

1996

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Leistungsmerkmale Diensteintegrierender Digitalnetze

GI — 14. Jahrestagung, p.208-222

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Abstandsregelung von Fahrzeugen mit Fuzzy Control

Fuzzy Logic, p.212-221

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Bringing robotics closer to students - a threefold approach

Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006, 2006, p.339-344

2006

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Improving the fit of locally weighted regression models

ICONIP'99. ANZIIS'99 & ANNES'99 & ACNN'99. 6th International Conference on Neural Information Processing. Proceedings (Cat. No.99EX378), 1999, Vol.1, p.371-374 vol.1

1999

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Overcome neural limitations for real world applications by providing confidence values for network prediction

ICONIP'99. ANZIIS'99 & ANNES'99 & ACNN'99. 6th International Conference on Neural Information Processing. Proceedings (Cat. No.99EX378), 1999, Vol.2, p.520-525 vol.2

1999

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Switchable constraints for robust pose graph SLAM

Towards a robust back-end for pose graph SLAM

Beyond RatSLAM: Improvements to a biologically inspired SLAM system

The causal update filter - A novel biologically inspired filter paradigm for appearance-based SLAM

A vision based onboard approach for landing and position control of an autonomous multirotor UAV in GPS-denied environments

A fast visual line segment tracker

Approximation of Time-Varying Functions with Local Regression Models

RoboKing - Bringing Robotics closer to Pupils

Physics without laws-making exact predictions with data based methods

Towards robust graphical models for GNSS-based localization in urban environments

Predicting time-varying functions with local models

Performance and fault-tolerance of neural networks for optimization

Computing iterative roots with second order training methods

Cost-efficient mono-camera tracking system for a multirotor UAV aimed for hardware-in-the-loop experiments

Finding the Optimal Continuous Model for Discrete Data by Neural Network Interpolation of Fractional Iteration

Using the Unscented Kalman Filter in Mono-SLAM with Inverse Depth Parametrization for Autonomous Airship Control

Generating fuzzy rules for the acceleration control of an adaptive cruise control system

Motion estimation for autonomous quadrocopter indoor flight

Using image profiles and integral images for efficient calculation of sparse optical flow fields

Genetically optimized neural network classifiers for bankruptcy prediction-an empirical study

Leistungsmerkmale Diensteintegrierender Digitalnetze

Abstandsregelung von Fahrzeugen mit Fuzzy Control

Bringing robotics closer to students - a threefold approach

Improving the fit of locally weighted regression models

Overcome neural limitations for real world applications by providing confidence values for network prediction

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