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» Accelerating neuroevolutionary methods using a Kalman filter
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TSP
2008
178views more  TSP 2008»
13 years 7 months ago
Extended Object Tracking Using Monte Carlo Methods
Abstract-- This paper addresses the problem of tracking extended objects, such as ships or a convoy of vehicles moving in urban environment. Two Monte Carlo techniques for extended...
Donka S. Angelova, Lyudmila Mihaylova
VMV
2001
248views Visualization» more  VMV 2001»
13 years 9 months ago
Using an Extended Hough Transform Combined with a Kalman Filter to Segment Tubular Structures in 3D Medical Images
We present a new approach for the coarse segmentation of tubular structures in 3D image data. Our algorithm, which requires only few initial values and minimal user interaction, c...
Thorsten Behrens, Karl Rohr, H. Siegfried Stiehl
IROS
2007
IEEE
171views Robotics» more  IROS 2007»
14 years 2 months ago
A Kalman filter for robust outlier detection
— In this paper, we introduce a modified Kalman filter that can perform robust, real-time outlier detection in the observations, without the need for parameter tuning. Robotic ...
Jo-Anne Ting, Evangelos Theodorou, Stefan Schaal
ECML
2007
Springer
14 years 1 months ago
Learning an Outlier-Robust Kalman Filter
We introduce a modified Kalman filter that performs robust, real-time outlier detection, without the need for manual parameter tuning by the user. Systems that rely on high quali...
Jo-Anne Ting, Evangelos Theodorou, Stefan Schaal
ICRA
2010
IEEE
202views Robotics» more  ICRA 2010»
13 years 6 months ago
A robust state estimation method against GNSS outage for unmanned miniature helicopters
Abstract— Most unmanned aerial robots use a Global Navigation Satellite System (GNSS), such as GPS, GLONASS, and Galileo, for their navigation. However, from time to time the GNS...
Tak-Kit Lau, Yun-hui Liu, Kai-wun Lin