In robotic applications, there is a growing trend for developing human-like real-time interaction capabilities. A good example can be found in Simultaneous localization and mapping technique, where a robot or an autonomous vehicle builds up a map within an unknown environment while at the same time keeping track of its current position. Especially in indoor environments, wall detection is often a critical part of SLAM: it plays a key role in scene interpretation and 3D workspace modeling. Further, it also reduces the size of the map. This paper presents an effective and real-time approach for detecting walls in indoor environment using GPU (graphics processing unit). The experimental results show the feasibility of using GPU as a coprocessor in robotic applications. © Springer-Verlag Berlin Heidelberg 2007.
CITATION STYLE
Moradi, H., Kwon, E., Sohn, D. N., & Han, J. (2007). A real-time GPU-based wall detection algorithm for mapping and navigation in indoor environments. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4558 LNCS, pp. 1072–1077). Springer Verlag. https://doi.org/10.1007/978-3-540-73354-6_117
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