Temat: computer vision - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Realization, programming and controlling of the stewart-gough platform
Autorzy:: Owoc, Dawid
Ludwiczak, Krzysztof
Piotrowski, Robert
Powiązania:: https://bibliotekanauki.pl/articles/384848.pdf
Data publikacji:: 2020
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: Stewart-Gough platform
ball & plate
computer vision
Opis:: This paper presents realization, programming, and controlling of a low cost Stewart‐Gough platform (SGP) with rotary actuators. The realized SGP is applied in a ball & plate control system. Developed dedicated soft ware consists of embedded and application software for both the SGP positioning system and the ball & plate control system. A ball position is being obtained using com‐ puter vision. The paper contains tests results for both an SGP positioning accuracy and a control quality of the ball & plate control system.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2020, 14, 2; 10-14
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Topological localization using appearance-based recognition
Autorzy:: Akers, E. L.
Agah, A.
Powiązania:: https://bibliotekanauki.pl/articles/384533.pdf
Data publikacji:: 2010
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: topological localization
mobile robotics
computer vision
appearance-based methods
Opis:: Localization is a fundamental problem of autonomous mobile robots. Localization is the determination of the position and orientation of a robot. Most localization systems are made up of several sensors and a map of the environment. Sophisticated localization systems can solve both the global location problem and the kid-napped robot problem. Global localization is the process of placing the robot into an unknown location within the map, and the robot should be able to locate itself within a relatively short period of time. The kidnapped robot problem is similar to global localization, as it is a test of how well the robot is able to recover after becoming lost. The robot is “teleported” to a new location, and the robot should again be able to determine its new location within a relatively short amount of time. CReSIS (Center for Remote Sensing of Ice Sheets) is developing autonomous robots in an effort to measure ice sheets characteristics in Greenland and Antarctica. These robots currently rely on differential GPS for localization and navigation. In order to survive for long periods of time in these environments, however, the robots need to be able to return to campsites in order to refuel and unload the data that has been acquired. In order to perform this task effectively and safely, a more elaborate system is required. A localization system that can recognize the dfferent locations of the campsites is the beginning of this process. The approach is to use a single camera for use in multiple types of large-scale environments, indoors and outdoors using a topological map. The system described uses an appearance-based approach for recognizing the different locations. The appearance-based methods attempt to recognize the appearance of a scene rather than specific objects. Several different types of features are tested including histograms, eigenimages, and Hu Moments. Using these simple features, the system is able to determine its location within the map at 95% accuracy.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2010, 4, 1; 68-84
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: A simple computer vision based indoor positioning system for educational micro air vehicles
Autorzy:: Kittenberger, T.
Ferner, A.
Scheikl, R.
Powiązania:: https://bibliotekanauki.pl/articles/950964.pdf
Data publikacji:: 2014
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: computer vision
indoor positioning
Gumstix
infrared camera
high power LED
robotics education
MAV
Opis:: Computer vision is one of the main research fields for micro air vehicles. Therefore many teams around the globe are developing different camera systems which are directly mounted on a MAV or observe and track it from a fixed position. This paper presents a simple and cheap solution for a precise 40 gram onboard computer vision system based on a 6 gram Gumstix Overo Firestorm computer, a 23 gram infrared camera a custom adapter board including buck converter and connectors and three ground based high power infrared LED’s. It has great potential for educational applications because no fixed and calibrated camera installation around the flight area is necessary so it can easily be deployed and removed. The use of various filter algorithms makes it very reliable and the 752x480 pixel images are processed with 12 fps. The achieved accuracy is about 2% and the range was tested up to 10 m.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2014, 8, 1; 46-52
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: Edge artificial intelligence-based facial pain recognition during myocardial infarction
Autorzy:: Mohan, H. M.
Shivaraj Kumara, H. C.
Mallikarjun, S. H.
Prasad, A. Y.
Powiązania:: https://bibliotekanauki.pl/articles/27314262.pdf
Data publikacji:: 2022
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: vital signs
myocardial infarction
facial pain expression
computer vision
medical assistance
convolution neural network
Opis:: Medical history highlights that myocardial infarction is one of the leading factors of death in human beings. Angina pectoris is a prominent vital sign of myocardial infarction. Medical reports suggest that experiencing chest pain during heart attacks causes changes in facial muscles, resulting in variations in patterns of facial expression. This work intends to develop an automatic facial expression detection to identify the severity of chest pain as a vital sign of MI, using an algorithmic approach that is implemented with a state-of-the-art convolutional neural network (CNN). The advanced object detection lightweight CNN models are as follows: Single Shot Detector Mobile Net V2, and Single Shot Detector Inception V2, which were utilized for designing the vital signs MI model from the 500 Red Blue Green Color images private dataset. The authors developed cardiac emergency health monitoring care using an Edge Artificial Intelligence (“Edge AI”) using NVIDIA’s Jetson Nano embedded GPU platform. The proposed model is mainly focused on the factors of low cost and less power consumption for onboard real-time detection of vital signs of myocardial infarction. The evaluated metrics achieve a mean Average Precision of 85.18%, Average Recall of 88.32%, and 6.85 frames per second for the generated detections.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2022, 16, 3; 40--55
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

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