Add to ORKGIn this paper a new localisation algorithm for the navigation of a mobile robot in outdoor environments is presented. The algorithm combines together a classical Kalman filter with a set of Fuzzy rules to fuse the information coming from different sensors. Some preliminary experimental results confirm the validity of the proposed approach.
A basic requirement for an autonomous mobile robot is to localize itself with repect to a given coor...
As a mobile robot navigates through an indoor environment, the condition of the floor is of low (or ...
A basic requirement for an autonomous mobile robot is to localize itself with repect to a given coor...
The capability to acquire the position and orientation of an autonomous mobile robot is an important...
Map-Based Localization approaches use a local map of the sensed envi-ronment that is matched against...
In this work, a novel approach that integrates GPS and Kalman filtering for the purpose of outdoor m...
In this work, a novel approach that integrates GPS and Kalman filtering for the purpose of outdoor m...
During outdoor localization of on-road mobile robot the task of keeping the robot on the road requir...
The use of global positioning system (GPS) in outdoor localization is quite a common solution in lar...
An essential key capability for a mobile robot to perform autonomous navigation is the ability to lo...
The use of global positioning system (GPS) in outdoor localization is quite a common solution in lar...
The use of the Global Positioning System (GPS) in outdoor localization is a quite common solution in...
Localization of a mobile robot with any structure, work space and task is one of the most fundament...
This paper proposed an approach of Fuzzy-Extended Kalman Filter(FEKF) for mobile robot localization ...
A basic requirement for an autonomous mobile robot is to localize itself with repect to a given coor...
A basic requirement for an autonomous mobile robot is to localize itself with repect to a given coor...
As a mobile robot navigates through an indoor environment, the condition of the floor is of low (or ...
A basic requirement for an autonomous mobile robot is to localize itself with repect to a given coor...
The capability to acquire the position and orientation of an autonomous mobile robot is an important...
Map-Based Localization approaches use a local map of the sensed envi-ronment that is matched against...
In this work, a novel approach that integrates GPS and Kalman filtering for the purpose of outdoor m...
In this work, a novel approach that integrates GPS and Kalman filtering for the purpose of outdoor m...
During outdoor localization of on-road mobile robot the task of keeping the robot on the road requir...
The use of global positioning system (GPS) in outdoor localization is quite a common solution in lar...
An essential key capability for a mobile robot to perform autonomous navigation is the ability to lo...
The use of global positioning system (GPS) in outdoor localization is quite a common solution in lar...
The use of the Global Positioning System (GPS) in outdoor localization is a quite common solution in...
Localization of a mobile robot with any structure, work space and task is one of the most fundament...
This paper proposed an approach of Fuzzy-Extended Kalman Filter(FEKF) for mobile robot localization ...
A basic requirement for an autonomous mobile robot is to localize itself with repect to a given coor...
A basic requirement for an autonomous mobile robot is to localize itself with repect to a given coor...
As a mobile robot navigates through an indoor environment, the condition of the floor is of low (or ...
A basic requirement for an autonomous mobile robot is to localize itself with repect to a given coor...