Paper Info
Title
Mobile Robot Localization In Dynamic Environments Using Places Recognition
Abstract
In this paper, we present a new method to localize a mobile robot in dynamic environments. This method is based on places recognition, and a match between places recognized and the sequence of places that the mobile robot is able to see during a run from an initial place to an ending place. Our method gives a coarse idea of the robot's position and orientation. Moreover, we can determine the actual state of places (i.e open doors, closed doors).
Year
Venue
Keywords
1998
1998 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, VOLS 1-4
mobile robots,hidden markov models,transition probability,pattern match,object recognition,markov model,pattern matching,robustness,navigation,path planning,localization,dead reckoning,grid computing,mobile robot navigation,ultrasonic sensors,ultrasonic transducers,mobile robot,hidden markov model
DocType
ISSN
Citations 
Conference
1050-4729
9
PageRank 
References 
Authors
1.04
6
3
Name
Order
Citations
PageRank
Olivier Aycard130926.57
Pierre Laroche27022.55
François Charpillet344854.11