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Item type:Publication, Optimization of 3D SLAM and Localization for Quadruped Robot Dogs Using Autoencoder-based Techniques(2025-01-01) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Automatic localization of optic disc in fundus image using iterative background removal(2019-07-01); Diabetic retinopathy (DR) is leading to cause of blood clot stimulating the formation of abnormal new blood vessels. hemorrhage and protein secretion from blood vessels to retinal tissue. The retinal damage causes the loss of sight thus the localization of Optic Disc is necessary for analysis of the abnormal retinal image. However, the data located at the Optic Disc image are similar to Hard Exudates in the retinal image. Therefore, the aim of the present study is to detect Optic Disc using the technique of background removal. The principle of image processing is also applied for the retinal image. The image data from Fundus camera are recorded in RGB color model separated into 3 channels: Red, green and blue channel. The data of all channels are evaluated by the preprocessing algorithm to make a more clear appearance of Optic Disc. Subsequently, the preprocessing image is analyzed by iterative background removal using entropy evaluation of the image data. Finally., the variance analysis of data intensity is performed in both the horizontal and vertical axis to determine the localization and size of Optic Disc. The result shows that the accuracy of localization and size of Optic Disc is approximately 98%. It indicates that this method is useful for retinal image analysis of diabetic retinopathy.1 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Soft-clustering technique for fingerprint-based localization(2018-01-01); In this paper, the soft-clustering algorithm for the fingerprint-based localization technique is proposed. In an indoor environment, the fingerprint-based localization technique is usually employed since it can deal with signal fluctuation. Its basic principle is to find the target location by comparing its signal parameters with a previously recorded database of knownlocation- signal parameters. Here, the received signal strength indicator (RSSI) provided by the wireless sensor network (WSN) is used as the signal parameter. The high accuracy of location estimation requires a very fine spatial resolution of the database, corresponding to the time consumed for pattern matching. To reduce the calculation time, clustering can be applied because it can reduce the database size by grouping similar data in the same cluster. The accuracy of the algorithm to cluster the target location and fingerprint locations is the main concern. The result shows that the clustering technique used can successfully cluster the target sensing node into an appropriate cluster. This implies that, by using soft clustering with the fingerprint technique, the target location can be estimated faster than by using classical fingerprint techniques since the target location can be estimated within a small set of fingerprints in the cluster, not with all fingerprints in the database.2 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, In-building navigation system using a camera(2014-01-01)A top-view map of building floor is still used nowadays by a visitor for in-building navigation. Its practicality heavily relies on the user's skill in matching a current position on the map. When the map is installed at a fixed position, not held in hand, the position of the map itself can be marked in the map, allowing the user to know the current position. Searching for the map itself, however, is still a necessary task. An orientation of the user is another issue of this traditional approach. It can be solved by having one more map point matched with the corresponding physical position on the floor. People with a good sense of direction have no difficulties with this conventional in-building navigation, but neither do the others. This paper uses the PTAM (parallel tracking and mapping - one type of visual simultaneous localization and mapping, SLAM) as a base system in which a camera is the only sensor. Two map points and their corresponding real position are used for registration of the camera pose acquired from PTAM with the top-view map coordinates. The top-view map of current floor is the only thing obtained in advance. Experimental results show that the proposed monocular navigation system can be used to navigate in the building in real-time, which helps the user correctly decide the route to the destination, similar to a GPS system used for the vehicle navigation. © 2013 IEEE. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Comparison between innovative approaches of RFID based localization using fingerprinting techniques for outdoor and indoor environments(2010-05-24) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, RFID based localization techniques for indoor environment(2010-05-24) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A position tracking experiment of mobile robot with Inertial Measurement Unit (IMU)(2010-01-01); Chaiyarat, ChutchaiCurrently, a position tracking of mobile robot becomes increasingly important. It can be not only used to track the moving path of mobile robot for searching and identifying its current position, but also to support the operation control of mobile robot remotely. The challenge in position tracking of mobile robot is to find its location related to environment. There are several tracking techniques using x, y coordinate and heading direction to locate the position in global coordinate system. However, these techniques lack the position information in z dimension. This paper proposes the method to track the position of mobile robot by using the Inertial Measurement Unit (IMU) that can provide the x, y and z coordination. The experiments were set in this work to verify the results of IMU signal while tracking the position of mobile robot. The results express some limitation characteristics of low-cost IMU sensor to provide accurate information. Therefore, some methodology is required to improve the accuracy of tracking position as suggested in the future work. ©ICROS.1 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Signal subspace interpolation from discrete measurement samples In constructing a database for location fingerprint technique(2009-01-01);