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» Parameter Estimation Using Kalman Filters with Constraints
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IJRR
2008
242views more  IJRR 2008»
13 years 7 months ago
Bilateral Symmetry Detection for Real-time Robotics Applications
Bilateral symmetry is a salient visual feature of many man-made objects. In this paper, we present research that use bilateral symmetry to identify, segment and track objects in re...
Wai Ho Li, Alan M. Zhang, Lindsay Kleeman
ICRA
2009
IEEE
178views Robotics» more  ICRA 2009»
14 years 2 months ago
Camera self-calibration for sequential Bayesian structure from motion
— Computer vision researchers have proved the feasibility of camera self-calibration —the estimation of a camera’s internal parameters from an image sequence without any know...
Javier Civera, Diana R. Bueno, Andrew J. Davison, ...
IROS
2007
IEEE
140views Robotics» more  IROS 2007»
14 years 1 months ago
IMU-based localization and slip estimation for skid-steered mobile robots
Abstract— Localization and wheel slip estimation of a skidsteered mobile robot is challenging because of the complex wheel/ground interactions and kinematics constraints. In this...
Jingang Yi, Junjie Zhang, Dezhen Song, Suhada Jaya...
CMSB
2008
Springer
13 years 9 months ago
A Model Checking Approach to the Parameter Estimation of Biochemical Pathways
Model checking has historically been an important tool to verify models of a wide variety of systems. Typically a model has to exhibit certain properties to be classed `acceptable&...
Robin Donaldson, David Gilbert
ICIP
2006
IEEE
14 years 9 months ago
Computing Pose Sequences Directly from Videos
An innovative extended Kalman filter (EKF) algorithm for pose tracking has been proposed in this paper. It has the advantages of both structure and motion-based (SAM-based) and tr...
Ying Kin Yu, Kin-hong Wong, Michael Ming-Yuen Chan...