Results 231 to 240 of about 321,013 (282)

Particle Filter Based on Strong Tracking Filter

2005 International Conference on Machine Learning and Cybernetics, 2005
One of the key issues for particle filter is the proposal distribution. A new proposal distribution, the strong tracking filter (STF) proposal distribution, is presented. The time-varied fading factor in the STF that can be tuned on line makes the algorithm adaptive.
null Xiao-Long Deng   +3 more
openaire   +1 more source

Extended strong tracking filter SLAM algorithm

2011 IEEE International Conference on Mechatronics and Automation, 2011
Simultaneous Localization and Mapping (SLAM) is a key issue in robotics community. This paper presents a monocular vision and odometer based SLAM algorithm, making use of a novel artificial landmark which is called MR (Mobile Robot) code. During robot motion, the information from visual observations is fused with that from the odometer by Extended ...
Feng Wen   +4 more
openaire   +1 more source

A strong tracking nonlinear robust filter for eye tracking

Journal of Control Theory and Applications, 2010
Non-intrusive methods for eye tracking are important for many applications of vision-based human computer interaction. However, due to the high nonlinearity of eye motion, how to ensure the robustness of external interference and accuracy of eye tracking pose the primary obstacle to the integration of eye movements into today’s interfaces.
Zutao Zhang, Jiashu Zhang
openaire   +1 more source

Adaptive Tracking Algorithm Based on Modified Strong Tracking Filter

2006 CIE International Conference on Radar, 2006
The strong tracking filter (STF) can reduce adaptively estimate bias and thus has ability to track maneuvering target in nonlinear systems. However, STF achieves the perfect performance in maneuvering segment at a cost of the precision in non-maneuvering segment. So based on the strong tracking filter, a new adaptive tracking algorithm (modified strong
He You   +3 more
openaire   +1 more source

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