Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Estimating uncertain spatial relationships in robotics
Autonomous robot vehicles
Dynamic map building for an autonomous mobile robot
International Journal of Robotics Research
An autonomous guided vehicle for cargo handling applications
International Journal of Robotics Research
CONDENSATION—Conditional Density Propagation forVisual Tracking
International Journal of Computer Vision
Experiences with an interactive museum tour-guide robot
Artificial Intelligence - Special issue on applications of artificial intelligence
Robust Monte Carlo localization for mobile robots
Artificial Intelligence
Navigating Mobile Robots: Systems and Techniques
Navigating Mobile Robots: Systems and Techniques
Service Robots
A Probabilistic Approach to Collaborative Multi-Robot Localization
Autonomous Robots
An Experimental System for Incremental Environment Modelling by an Autonomous Mobile Robot
The First International Symposium on Experimental Robotics I
An Experimental and Theoretical Investigation into Simultaneous Localisation and Map Building
The Sixth International Symposium on Experimental Robotics VI
Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks
UAI '00 Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence
Robust global localization using clustered particle filtering
Eighteenth national conference on Artificial intelligence
FastSLAM: a factored solution to the simultaneous localization and mapping problem
Eighteenth national conference on Artificial intelligence
A robot that walks; emergent behaviors from a carefully evolved network
Neural Computation
Planning and acting in partially observable stochastic domains
Artificial Intelligence
Tractable inference for complex stochastic processes
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Stochastic simulation algorithms for dynamic probabilistic networks
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Multi-dimensional visual tracking using scatter search particle filter
Pattern Recognition Letters
Dynamic motion models in Monte Carlo Localization
Integrated Computer-Aided Engineering
Location of legged robots in outdoor environments
Robotics and Autonomous Systems
Approximate stochastic dynamic programming for sensor scheduling to track multiple targets
Digital Signal Processing
A collaborative method for the localization of wireless sensor network
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Using the Particle Filter Approach to Building Partial Correspondences Between Shapes
International Journal of Computer Vision
Data Retrieving From Heterogeneous Wireless Sensor Network Nodes Using UAVs
Journal of Intelligent and Robotic Systems
SLAM in O(logn) with the Combined Kalman-Information Filter
Robotics and Autonomous Systems
Person tracking based on a hybrid neural probabilistic model
ICANN'11 Proceedings of the 21st international conference on Artificial neural networks - Volume Part II
A robust particle filter-based face tracker using combination of color and geometric information
ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part I
Decentralized sensor fusion with distributed particle filters
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
Bearing similarity measures for self-organizing feature maps
IDEAL'05 Proceedings of the 6th international conference on Intelligent Data Engineering and Automated Learning
Dynamic maps in monte carlo localization
AI'05 Proceedings of the 18th Canadian Society conference on Advances in Artificial Intelligence
A hybrid approach to 2D robotic map evaluation
Proceedings of the Workshop on Performance Metrics for Intelligent Systems
Real-Time Query Processing on Live Videos in Networks of Distributed Cameras
International Journal of Interdisciplinary Telecommunications and Networking
Expert Systems with Applications: An International Journal
Particle filter tracking without dynamics
Applied Bionics and Biomechanics
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In recent years, particle filters have solved several hard perceptual problems in robotics. Early successes of particle filters were limited to low-dimensional estimation problems, such as the problem of robot localization in environments with known maps. More recently, researchers have begun exploiting structural properties of robotic domains that have led to successful particle filter applications in spaces with as many as 100,000 dimensions. The fact that every model--no mater how detailed--fails to capture the full complexity of even the most simple robotic environments has lead to specific tricks and techniques essential for the success of particle filters in robotic domains. This article surveys some of these recent innovations, and provides pointers to in-depth articles on the use of particle filters in robotics.