Mobile Robot Localization through Identifying Spatial Relations from Detected Corners
نویسندگان
چکیده
In this paper, the Harris corner detection algorithm is applied to images captured by a time-of-flight (ToF) camera. In this case, the ToF camera mounted on a mobile robot is exploited as a gray-scale camera for localization purposes. Indeed, the gray-scale image represents distances for the purpose of finding good features to be tracked. These features, which actually are points in the space, form the basis of the spatial relations used in the localization algorithm. The approach to the localization problem is based on the computation of the spatial relations existing among the corners detected. The current spatial relations are matched with the relations gotten during previous navigation.
منابع مشابه
Robust Local Localization of a Mobile Robot in Indoor Environments Using Virtual Corners
This paper deals with the problem of finding the movement of a mobile robot given two consecutive laser scans. The proposed method extracts a line map from the sequence of points in each laser scan, using a probabilistic approach, and then computes virtual corners between two lines in the same line map. The movement of the robot is estimated from correspondences of virtual corners between the t...
متن کاملLocalization of a Mobile Robot Using Natural Landmarks and Sensor Fusion
In this study, localization of a mobile robot is accomplished using laser range finder, compass and natural landmark. Corners in a room are used as natural landmarks. It is assumed that mobile robot is positioned to sense corners and there is no other corner like objects in the environment. Once a corner is sensed, the position of this corner is determined using the robot heading which is indic...
متن کاملOn the Representation of Fuzzy Spatial Relations in Robot Maps
Spatial directional relations, like "north of," play an important role in the modeling of the environment by an autonomous robot. We propose an approach to represent spatial relations grounded in fuzzy set theory and fuzzy mathematical morphology. We show how this approach can be applied to robot maps, and suggest that these relations can be used for self-localization and for reasoning about th...
متن کاملMap-merging in Multi-robot Simultaneous Localization and Mapping Process Using Two Heterogeneous Ground Robots
In this article, a fast and reliable map-merging algorithm is proposed to produce a global two dimensional map of an indoor environment in a multi-robot simultaneous localization and mapping (SLAM) process. In SLAM process, to find its way in this environment, a robot should be able to determine its position relative to a map formed from its observations. To solve this complex problem, simultan...
متن کاملReduction of Odometry Error in a two Wheeled Differential Drive Robot (TECHNICAL NOTE)
Pose estimation is one of the vital issues in mobile robot navigation. Odometry data can be fused with absolute position measurements to provide better and more reliable pose estimation. This paper deals with the determination of better relative localization of a two wheeled differential drive robot by means of odometry by considering the influence of parameters namely weight, velocity, wheel p...
متن کامل