Czasopismo | ELEKTRONIKA - KONSTRUKCJE, TECHNOLOGIE, ZASTOSOWANIA | Rocznik 2011 - zeszyt 9

Application of semantic maps for mobile robot simulation

nr katalogowy: 62708

In this paper a new concept of using semantic map for robot operator training purpose is described. The approach consists of 3D laser data acquisition, semantic elements extraction (using image processing techniques) and transformation to rigid body simulation engine, therefore the State Of the Art related to those research topics will be discussed. The combination of a 2D laser range finder with a mobile unit was described as the simulation of a 3D laser range finder in [1]. In this sense we can consider that several researches are using so called simulator of 3D laser range finder to obtain 3D cloud of points [2]. The common 3D laser simulator is built on the basis of a rotated 2D range finder. The rotation axis can be horizontal [3], vertical [4] or similarly to our approach (the rotational axis lies in the middle of the scanners field of view). Semantic information extracted from 3D laser data is recent research topic of modern mobile robotics. In [5] a semantic map for a mobile robot was described as a map that contains, in addition to spatial information about the environment, assignments of mapped features to entities of known classes. In [6] a model of an indoor scene is implemented as a semantic net. This approach is used in [7] where robot extracts semantic information from 3D models built from a laser scanner. In [8] the location of features is extracted by using a probabilistic technique (RANSAC). Also the region growing approach [9] extended from [10] by efficiently integrating k-nearest neighbor (KNN) search is able to process unorganized clouds of points. The semantic map building is related to SLAM (Simultaneous Localization And Mapping) problem [11]. Most of recent SLAM (Simultaneous Localization And Mapping) techniques use camera [12], laser measurement system [13] or even registered 3D laser data [14]. Concerning the registration of 3D scans described in [15] we can find several techniques solving this imp[...]

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2011-9

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