International audienceThis paper introduces a new approach to SLAM which combines an Information Filter and a non linear optimizer. The basic idea of the suggested technique is to use the Information Filter when the system non linearities are negligible, and to switch to the use of the non linear optimizer when the non linearities are not negligible. Extensive simulations are provided in order to evaluate the performance of the proposed approach. In particular, a comparison with the Exactly Sparse Delayed-state Filers (ESDF) technique is carried out
This electronic version was submitted by the student author. The certified thesis is available in th...
This paper proposes an innovative simultaneous localization and mapping (SLAM) algorithm which combi...
This paper presents a seletion procedure for environmet features for the correction stage of a SLAM ...
This paper introduces a new approach to SLAM which combines an Information Filter and a non linear o...
International audienceThis paper introduces a new approach to SLAM which combines an Information Fil...
Abstract: A SLAM algorithm inspired by biological principles has been recently proposed and shown to...
Recently a SLAM algorithm based on biological principles (RatSLAM) has been proposed. It was proven ...
This paper proposes a real-time nonlinear filtering approach for the SLAM problem, termed as compres...
In this paper we describe the Combined Filter, a judicious combination of Extended Kalman (EKF) and ...
International audienceThis paper deals with the Simultaneous Localization and Map building (SLAM) pr...
Designing filters exploiting the sparseness of the information matrix for efficiently solving the si...
is the development of algorithms which scale with the size of the environment. A few promising metho...
International audienceThis paper introduces an implementation of the Polynomial Extended Kalman Filt...
International audienceThis paper introduces an implementation of the Polynomial Extended Kalman Filt...
The process of simultaneously building the map and locating a vehicle is known as Simultaneous Local...
This electronic version was submitted by the student author. The certified thesis is available in th...
This paper proposes an innovative simultaneous localization and mapping (SLAM) algorithm which combi...
This paper presents a seletion procedure for environmet features for the correction stage of a SLAM ...
This paper introduces a new approach to SLAM which combines an Information Filter and a non linear o...
International audienceThis paper introduces a new approach to SLAM which combines an Information Fil...
Abstract: A SLAM algorithm inspired by biological principles has been recently proposed and shown to...
Recently a SLAM algorithm based on biological principles (RatSLAM) has been proposed. It was proven ...
This paper proposes a real-time nonlinear filtering approach for the SLAM problem, termed as compres...
In this paper we describe the Combined Filter, a judicious combination of Extended Kalman (EKF) and ...
International audienceThis paper deals with the Simultaneous Localization and Map building (SLAM) pr...
Designing filters exploiting the sparseness of the information matrix for efficiently solving the si...
is the development of algorithms which scale with the size of the environment. A few promising metho...
International audienceThis paper introduces an implementation of the Polynomial Extended Kalman Filt...
International audienceThis paper introduces an implementation of the Polynomial Extended Kalman Filt...
The process of simultaneously building the map and locating a vehicle is known as Simultaneous Local...
This electronic version was submitted by the student author. The certified thesis is available in th...
This paper proposes an innovative simultaneous localization and mapping (SLAM) algorithm which combi...
This paper presents a seletion procedure for environmet features for the correction stage of a SLAM ...