Abstract
In this paper a complete strategy for scene modeling from sensory data acquired in a natural environment is defined. This strategy is applied to outdoor mobile robotics and goes from environment recognition to landmark extraction. In this work, environment is understood as a specific kind of landscape, for instance, a prairie, a forest, a desert, etc. A landmark is defined as a remarkable object in the environment. In the context of outdoor mobile robotics a landmark has to be useful to accomplish localization and navigation tasks.
This research was funded by CONACyT, México
This research was funded by the PCP program (Colombia-COLCIENCIAS-and France) and by the ECOS Nord project number C00M01.
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Murrieta-Cid, R., Parra, C., Devy, M., Tovar, B., Esteves, C. (2002). A Vision System for Environment Representation: From Landscapes to Landmarks. In: Coello Coello, C.A., de Albornoz, A., Sucar, L.E., Battistutti, O.C. (eds) MICAI 2002: Advances in Artificial Intelligence. MICAI 2002. Lecture Notes in Computer Science(), vol 2313. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46016-0_2
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