Zenou, Emmanuel and Samuelides, Manuel Learning-based visual localization using formal concept lattices. (2004) In: IEEE Workshop on Machine Learning for Signal Processing, 29 Sept - 01 Oct 2004, Sao Luis, Brazil.
|(Document in English) |
PDF (Publisher's version) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Official URL: http://dx.doi.org/10.1109/MLSP.2004.1422958
We present here a new methodology to perform active visual localization in the context of autnomous mobile robotics. The robot is endowed with a topological map of its environment. During the learning phase, the robot takes a lot of pictures from the environment; each picture is labelled by its origin place in the topological map. After the learning phase, the robot is supposed to locate itself in the learnt environment using the visual sensor. Since the discriminating information is sparse, the usual supervised classification techniques as neural networks are not sufficient to perform efficiently this task. Therefore, we propose to use a symbolic learning approach, the "formal concept analysis". The relevant information is gathered into one concept lattice. A formal classification rule is proposed to achieve localization on the topological map. In order to improve the response rate of the decision process, the original formal landmark set is extended to plausible landmarks for a given confidence level. Experimental results in a structured environment support this approach. Perspectives for implementing active strategy to look for visual information and to improve on-line learning and localization process are presented in the final discussion.
|Item Type:||Conference or Workshop Item (Paper)|
|Additional Information:||Thanks to the Institute of Electrical and Electronics Engineers (IEEE).The original PDF can be found on the IEEE website: http://ieeexplore.ieee.org/Xplore/login.jsp?url=/iel5/9735/30718/01422958.pdf?arnumber=1422958|
|Audience (conference):||International conference proceedings|
|Institution:||Université de Toulouse > Institut Supérieur de l'Aéronautique et de l'Espace - ISAE|
Département de Mathématiques, Informatique, Automatique - DMIA (Toulouse, France) - Automatique, Dynamique et Interface des Systèmes - ADIS
|Total amount of citations (from ISI Web of Science):||0|
|Deposited By:||Emmanuel Zenou|
Repository Staff Only: item control page