In this paper a new method of information fusion, Dezert-Smarandache Theory (DSmT) is introduced to deal with high conflicting and uncertain information. And then the Evidence Reasoning Machine (ERM) based on DSmT is presented for mobile robot mapping in unknown dynamic environment
The management and combination of uncertain, imprecise, fuzzy and even paradoxical or highly con°ict...
The management and combination of uncertain, imprecise, fuzzy and even paradoxical or highly conflic...
The theory of Dezert and Smarandache (DSmT) called also the theory of plausible and paradoxical reas...
In this paper, a new method of information fusion – DSmT (Dezert and Smarandache Theory) is introduc...
In this paper, a new multi-robot system framework is introduced to solve the problem of multi-robot ...
The management and combination of uncertain, imprecise, fuzzy and even paradoxical or highly conflic...
This paper presents a new tool based on DSmT (Dezert-Smarandache Theory) and fast-Hough self-localiz...
The management and combination of uncertain, imprecise,<br />fuzzy and even paradoxical or hig...
DSmT (Dezert-Smarandache Theory) is a new alternative to Dempster-Shafer Theory (DST) which: 1) prop...
Information acquired in map building presents characteristics of uncertainty, imprecision and even h...
Occupancy grid mapping is an important approach for intelligent vehicle environment perception. In t...
Map reconstruction for autonomous mobile robots navigation needs to deal with uncertainties, impreci...
With the development of information fusion, a new theory based on Dezert-Smarandache Theory (DSmT) w...
One of the problems usually discussed in autonomous mobile robot navigation is how to build a map of...
Mapping for mobile robots integrates noisy spurious sensor data into a single coherent map useful fo...
The management and combination of uncertain, imprecise, fuzzy and even paradoxical or highly con°ict...
The management and combination of uncertain, imprecise, fuzzy and even paradoxical or highly conflic...
The theory of Dezert and Smarandache (DSmT) called also the theory of plausible and paradoxical reas...
In this paper, a new method of information fusion – DSmT (Dezert and Smarandache Theory) is introduc...
In this paper, a new multi-robot system framework is introduced to solve the problem of multi-robot ...
The management and combination of uncertain, imprecise, fuzzy and even paradoxical or highly conflic...
This paper presents a new tool based on DSmT (Dezert-Smarandache Theory) and fast-Hough self-localiz...
The management and combination of uncertain, imprecise,<br />fuzzy and even paradoxical or hig...
DSmT (Dezert-Smarandache Theory) is a new alternative to Dempster-Shafer Theory (DST) which: 1) prop...
Information acquired in map building presents characteristics of uncertainty, imprecision and even h...
Occupancy grid mapping is an important approach for intelligent vehicle environment perception. In t...
Map reconstruction for autonomous mobile robots navigation needs to deal with uncertainties, impreci...
With the development of information fusion, a new theory based on Dezert-Smarandache Theory (DSmT) w...
One of the problems usually discussed in autonomous mobile robot navigation is how to build a map of...
Mapping for mobile robots integrates noisy spurious sensor data into a single coherent map useful fo...
The management and combination of uncertain, imprecise, fuzzy and even paradoxical or highly con°ict...
The management and combination of uncertain, imprecise, fuzzy and even paradoxical or highly conflic...
The theory of Dezert and Smarandache (DSmT) called also the theory of plausible and paradoxical reas...
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