Receive KAIST news by email!
Type your e-mail address here.
by recently order
by view order
An AI-based, Indoor/Outdoor-Integrated (IOI) GPS System to Bring Seismic Waves in the Terrains of Positioning Technology
KAIST breaks new grounds in positioning technology with an AI-integrated GPS board that works both indoors and out KAIST (President Kwang Hyung Lee) announced on the 8th that Professor Dong-Soo Han's research team (Intelligent Service Integration Lab) from the School of Computing has developed a GPS system that works both indoors and outdoors with quality precision regardless of the environment. This Indoor/Outdoor-Integrated GPS System, or IOI GPS System, for short, uses the GPS signals outdoors and estimates locations indoors using signals from multiple sources like an inertial sensor, pressure sensors, geomagnetic sensors, and light sensors. To this end, the research team developed techniques to detect environmental changes such as entering a building, and methods to detect entrances, ground floors, stairs, elevators and levels of buildings by utilizing artificial intelligence techniques. Various landmark detecting techniques were also incorporated with pedestrian dead reckoning (PDR), a navigation tool for pedestrians, to devise the so-called “Sensor-Fusion Positioning Algorithm”. To date, it was common to estimate locations based on wireless LAN signals or base station signals in a space where the GPS signal could not reach. However, the IOI GPS enables positioning even in buildings without signals nor indoor maps. The algorithm developed by the research team can provide accurate floor information within a building where even big tech companies like Google and Apple's positioning services do not provide. Unlike other positioning methods that rely on visual data, geomagnetic positioning techniques, or wireless LAN, this system also has the advantage of not requiring any prior preparation. In other words, the foundation to enable the usage of a universal GPS system that works both indoors and outdoors anywhere in the world is now ready. The research team also produced a circuit board for the purpose of operating the IOI GPS System, mounted with chips to receive and process GPS, Wi-Fi, and Bluetooth signals, along with an inertial sensor, a barometer, a magnetometer, and a light sensor. The sensor-fusion positioning algorithm the lab has developed is also incorporated in the board. When the accuracy of the IOI GPS board was tested in the N1 building of KAIST’s main campus in Daejeon, it achieved an accuracy of about 95% in floor estimation and an accuracy of about 3 to 6 meters in distance estimation. As for the indoor/outdoor transition, the navigational mode change was completed in about 0.3 seconds. When it was combined with the PDR technique, the estimation accuracy improved further down to a scope of one meter. The research team is now working on assembling a tag with a built-in positioning board and applying it to location-based docent services for visitors at museums, science centers, and art galleries. The IOI GPS tag can be used for the purpose of tracking children and/or the elderly, and it can also be used to locate people or rescue workers lost in disaster-ridden or hazardous sites. On a different note, the sensor-fusion positioning algorithm and positioning board for vehicles are also under development for the tracking of vehicles entering indoor areas like underground parking lots. When the IOI GPS board for vehicles is manufactured, the research team will work to collaborate with car manufacturers and car rental companies, and will also develop a sensor-fusion positioning algorithm for smartphones. Telecommunication companies seeking to diversify their programs in the field of location-based services will also be interested in the use the IOI GPS. Professor Dong-Soo Han of the School of Computing, who leads the research team, said, “This is the first time to develop an indoor/outdoor integrated GPS system that can pinpoint locations in a building where there is no wireless signal or an indoor map, and there are an infinite number of areas it can be applied to. When the integration with the Korea Augmentation Satellite System (KASS) and the Korean GPS (KPS) System that began this year, is finally completed, Korea can become the leader in the field of GPS both indoors and outdoors, and we also have plans to manufacture semi-conductor chips for the IOI GPS System to keep the tech-gap between Korea and the followers.” He added, "The guidance services at science centers, museums, and art galleries that uses IOI GPS tags can provide a set of data that would be very helpful for analyzing the visitors’ viewing traces. It is an essential piece of information required when the time comes to decide when to organize the next exhibit. We will be working on having it applied to the National Science Museum, first.” The projects to develop the IOI GPS system and the trace analysis system for science centers were supported through Science, Culture, Exhibits and Services Capability Enhancement Program of the Ministry of Science and ICT. Profile: Dong-Soo Han, Ph.D.Professorddsshhan@kaist.ac.krhttp://isilab.kaist.ac.kr Intelligent Service Integration Lab.School of Computing http://kaist.ac.kr/en/ Korea Advanced Institute of Science and Technology (KAIST)Daejeon, Republic of Korea
KAIST establishes Indoor Location Recognition Industrial-Educational Research Center
KAIST has signed the memorandum of understanding on the 15th of February for the establishment of ‘KTNET-KAIST Industrial-Educational Research Center’ (Head of Center, Professor Han Dong Soo of department of Computer Sciences). Korea International Trade Association and KTNET will be working with KAIST to develop wi-fi based indoor location recognition service and applications of the developed technology. The memorandum of understanding states that KTNET and Korea International Trade Association will be allowed access to the technology KAIST has in order to obtain competitive advantage in the field of location recognition. In addition, KAIST will continue on making technological advances in the field of wi-fi based indoor location recognition for the next 5 years, develop new core technologies and applications, along with the export of related technologies abroad, under the support of the KITA and KTNET. The KTNET-KAIST research center is special in that it has been derived off of the technology developed for the hosting of the G20 Global Summit. Last year, KAIST, KITA, and KTNET developed a wi-fi based Coex indoor navigation system and called it ‘myCoex’ and released it to the public in tandem with hosting G20 Summit. ‘myCoex’ application was the first of its kind in the world to provide wi-fi based indoor navigation system without problems. Despite ‘myCoex’ only useable within Coex, over 150,000 users have downloaded the application. The research center plans on developing the necessary technology that will allow the application of such an app like ‘mCoex’ to large indoor spaces like Incheon International Airport, subway, shopping malls, and etc. In addition the addition of a social commerce service to ‘myCoex’ is being looked into which will be the marriage of navigation services and social commerce services. The KTNET KAIST research center will develop a wi-fi based indoor location recognition service platform that can be widely used and open it so that numerous other developers can develop personalized services. Han Dong Soo Head od Center commented, “The wi-fi based indoor location recognition technology is still found wanting in its accuracy, response time, and energy consumption efficiency making further research imperative in this particular field. The establishment of KTNET-KAIST research center has created a research friendly environment and KAIST will do its utmost to become the leader in the field”.
Indoor Localization System for Mobile Devices Developed by KAIST Research Team
The technology will be available to smart phone users around the world through Goole Apps Store. The wireless fidelity (WiFi)-based indoor localization can be installed on smart phones for commercialization, a technology developed by a research team at KAIST. The KAIST research team, led by Professor Dong-Soo Han, Department of Computer Science and Engineering, explained that the technology offers smart phone users, e.g., Google’s Android phone and Apple’ iPhone, a unique way to recognize their location through WiFi Open Radio Map. WiFi Open Radio Map is built with WiFi Location Fingerprint that contains wireless local area network (LAN)’s signal strength and wireless access points (AP) number, and with location information. Through using the Map, WiFi-based indoor localization recognizes the location of smart phones and sends the location information to the phones. Since the technology uses WiFi signal information only to recognize the whereabouts of phones, it can be widely used in the future, without installing extra machines and equipment for detection, for a complicated, large indoor environment, where the Global Positioning System (GPS) is not available. Currently, Professor Han has established WiFi Open Radio Map inside and outside of a few buildings at KAIST and developed several location based application services to perform a beta testing. He plans to open and distribute the technology to smart phone users through Google and Apple Apps Store in early 2010. Collaborations with major smart phone makers such as SK Telecom, Korea Telecom, and Samsung as well as outdoor/indoor localization manufactures and suppliers will also be sought, according to Professor Han. Professor Han is invited to an international conference, Eighth Annual IEEE International Conference on Pervasive Computing and Communications, slated for early April 2010, in recognition of his work. At the conference, he will give a presentation on WiFi based indoor localization technology and conduct its demo version.
마지막 페이지 1
KAIST, 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea
Copyright(C) 2020, Korea Advanced Institute of Science and Technology,
All Rights Reserved.