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» State Estimation With Initial State Uncertainty
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TSP
2011
197views more  TSP 2011»
13 years 20 days ago
Group Object Structure and State Estimation With Evolving Networks and Monte Carlo Methods
—This paper proposes a technique for motion estimation of groups of targets based on evolving graph networks. The main novelty over alternative group tracking techniques stems fr...
Amadou Gning, Lyudmila Mihaylova, Simon Maskell, S...
NAACL
2007
13 years 7 months ago
Stating with Certainty or Stating with Doubt: Intercoder Reliability Results for Manual Annotation of Epistemically Modalized St
Texts exhibit subtle yet identifiable modality about writers’ estimation of how true each statement is (e.g., definitely true or somewhat true). This study is an analysis of suc...
Victoria L. Rubin
PAMI
2002
124views more  PAMI 2002»
13 years 5 months ago
Information Theoretic Sensor Data Selection for Active Object Recognition and State Estimation
We introduce a formalism for optimal sensor parameter selection for iterative state estimation in static systems. Our optimality criterion is the reduction of uncertainty in the st...
Joachim Denzler, Christopher M. Brown
ICRA
2009
IEEE
106views Robotics» more  ICRA 2009»
14 years 12 days ago
Simultaneous local and global state estimation for robotic navigation
— Recent applications of robotics often demand two types of spatial awareness: 1) A fine-grained description of the robot’s immediate surroundings for obstacle avoidance and p...
David C. Moore, Albert S. Huang, Matthew Walter, E...
RSS
2007
136views Robotics» more  RSS 2007»
13 years 7 months ago
The Stochastic Motion Roadmap: A Sampling Framework for Planning with Markov Motion Uncertainty
— We present a new motion planning framework that explicitly considers uncertainty in robot motion to maximize the probability of avoiding collisions and successfully reaching a ...
Ron Alterovitz, Thierry Siméon, Kenneth Y. ...