Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Autonomous robot vehicles
Topological mapping for mobile robots using a combination of sonar and vision sensing
AAAI'94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 2)
Probabilistic robot navigation in partially observable environments
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
The interactive museum tour-guide robot
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Position estimation for mobile robots in dynamic environments
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Integrating topological and metroc maps for mobile robot navigation: a statistical approach
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
A Probabilistic Approach to Concurrent Mapping and Localization for Mobile Robots
Machine Learning - Special issue on learning in autonomous robots
Bayesian Landmark Learning for Mobile Robot Localization
Machine Learning
A Probabilistic Approach to Collaborative Multi-Robot Localization
Autonomous Robots
VisionBug: A Hexapod Robot Controlled by Stereo Cameras
Autonomous Robots
Journal of Intelligent and Robotic Systems
CS Freiburg: Doing the Right Thing in a Group
RoboCup 2000: Robot Soccer World Cup IV
RoboCup-98: Robot Soccer World Cup II
Fast, Accurate, and Robust Self-Localization in the RoboCup Environment
RoboCup-99: Robot Soccer World Cup III
Self-Localization in the RoboCup Environment
RoboCup-99: Robot Soccer World Cup III
Fault-Tolerant Self Localization by Case-Based Reasoning
RoboCup 2000: Robot Soccer World Cup IV
Evolving an Environment Model for Robot Localization
Proceedings of the Second European Workshop on Genetic Programming
Collaborative Multi-robot Localization
KI '99 Proceedings of the 23rd Annual German Conference on Artificial Intelligence: Advances in Artificial Intelligence
MINERVA: A Tour-Guide Robot that Learns
KI '99 Proceedings of the 23rd Annual German Conference on Artificial Intelligence: Advances in Artificial Intelligence
Using an Image Retrieval System for Vision-Based Mobile Robot Localization
CIVR '02 Proceedings of the International Conference on Image and Video Retrieval
Automatic Monocular 3D-Reconstruction of Indoor Environments Using Mobile Vehicles
Proceedings of the 24th DAGM Symposium on Pattern Recognition
An Automated Method for Large-Scale, Ground-Based City Model Acquisition
International Journal of Computer Vision
Localization for mobile sensor networks
Proceedings of the 10th annual international conference on Mobile computing and networking
Active Appearance-Based Robot Localization Using Stereo Vision
Autonomous Robots
A Navigation System for Assistant Robots Using Visually Augmented POMDPs
Autonomous Robots
Spatial Reasoning with Incomplete Information on Relative Positioning
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Journal of Supercomputing
Detecting identifiable areas in mobile environments
Proceedings of the 2006 ACM symposium on Applied computing
Mobile Robot Global Localization using an Evolutionary MAP Filter
Journal of Global Optimization
The Reverse Monte Carlo localization algorithm
Robotics and Autonomous Systems
Appearance-based localization for mobile robots using digital zoom and visual compass
Robotics and Autonomous Systems
A bacterial colony growth algorithm for mobile robot localization
Autonomous Robots
LOCALE: Collaborative Localization Estimation for Sparse Mobile Sensor Networks
IPSN '08 Proceedings of the 7th international conference on Information processing in sensor networks
Real-time Bounded-error State Estimation for Vehicle Tracking
International Journal of Robotics Research
Model based vehicle detection and tracking for autonomous urban driving
Autonomous Robots
Consistent triangulation for mobile robot localization using discontinuous angular measurements
Robotics and Autonomous Systems
Active mobile robot localization
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
Journal of Artificial Intelligence Research
A novel approach to the mobile robot localization problem using tracking methods
RA '07 Proceedings of the 13th IASTED International Conference on Robotics and Applications
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Probabilistic multi-component extended strong tracking filter for mobile robot global localization
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
3D mapping with multi-resolution occupied voxel lists
Autonomous Robots
Consistent outdoor vehicle localization by bounded-error state estimation
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Motion in ambiguity: Coordinated active global localization for multiple robots
Robotics and Autonomous Systems
Mobile anchor-free localization for wireless sensor networks
DCOSS'07 Proceedings of the 3rd IEEE international conference on Distributed computing in sensor systems
Inferring position knowledge from location predicates
LoCA'07 Proceedings of the 3rd international conference on Location-and context-awareness
A moving grid cell based MCL algorithm for mobile robot localization
ROBIO'09 Proceedings of the 2009 international conference on Robotics and biomimetics
Augmenting appearance-based localization and navigation using belief update
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 2 - Volume 2
Fuzzy uncertainty modeling for grid based localization of mobile robots
International Journal of Approximate Reasoning
A collaborative localization tolerant to recognition error by double-check particle exchange
Artificial Life and Robotics
Presenting a new method for the simultaneous localization and mapping in two mobile robots
ASM'10 Proceedings of the 4th international conference on Applied mathematics, simulation, modelling
L1-L2-norm comparison in global localization of mobile robots
Robotics and Autonomous Systems
A global localization approach based on Line-segment Relation Matching technique
Robotics and Autonomous Systems
A fuzzy touch to R-MCL localization algorithm
RoboCup 2005
A unified Bayesian framework for global localization and SLAM in hybrid metric/topological maps
International Journal of Robotics Research
RoboCup 2004
Map-based navigation in mobile robots
Cognitive Systems Research
Cascaded Evolutionary Estimator for Robot Localization
International Journal of Applied Evolutionary Computation
A novel efficient algorithm for mobile robot localization
Robotics and Autonomous Systems
Multi-observation sensor resetting localization with ambiguous landmarks
Autonomous Robots
Kullback-Leibler divergence-based global localization for mobile robots
Robotics and Autonomous Systems
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In order to re-use existing models of the environment mobile robots must be able to estimate their position and orientation in such models. Most of the existing methods for position estimation are based on special purpose sensors or aim at tracking the robot's position relative to the known starting point. This paper describes the position probability grid approach to estimating the robot's absolute position and orientation in a metric model of the environment. Our method is designed to work with standard sensors and is independent of any knowledge about the starting point. It is a Bayesian approach based on certainty grids. In each cell of such a grid we store the probability that this cell refers to the current position of the robot. These probabilities are obtained by integrating the likelihoods of sensor readings over time. Results described in this paper show that our technique is able to reliably estimate the position of a robot in complex environments. Our approach has proven to be robust with respect to inaccurate environmental models, noisy sensors, and ambiguous situations.