GPS
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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
2022.07.13 View 8095 -
Professor Dong-Soo Han received the Prime Minister's award for creative economy in 2013
The 2013 Korea Creative Economy Awards, presented to companies or individuals that contributed to the implementation of the Korean government’s economic growth initiative called “creative economy” with the development of new technology, was held on December 12th at the InterContinental Seoul Coex. Professor Dong-Soo Han from the Department of Computer Science at KAIST received the Prime Minister’s award.
Professor Han was recognized for his research accomplishments on the development of an indoor GPS system and an integrated indoor/outdoor navigation system, as well as for his publication of a book for beginners who are interested in patents. He has applied 50 patents and registered 30 patents in Korea and abroad for the indoor positioning technology and smartphone application services.
His research work was also introduced to the public at the exhibition held after the award ceremony during December 12th-15th at the Coex convention center in Seoul.
2014.01.05 View 7446 -
Prof. Jiyun Lee receives the U.S. FAA Achievement Award
- Ensures the safe operation of aircraft by monitoring ionospheric changes caused by solar storms.
KAIST’s Aerospace Engineering Department’s Professor Jiyun Lee has received an award from the U.S. Federal Aviation Administration (FAA), in recognition of her work for developing a Global Positioning System (GPS) reinforcing system and improving Satellite Navigation technology.
A GPS reinforcing system provides real-time GPS location and integrity information within 1m ranges to enable the accurate and safe navigation of aircraft. However, when the sun reaches Solar Max, the amount of total electron increases rapidly in the ionosphere. This also increases the possibility of the position error of navigation using the GPS reinforcing system. In order to solve this problem, Professor Lee built an Ionosphere Danger model that monitors the changes in the ionosphere due to solar storm. The model has been implemented into original monitoring software that secures the safety of the GPS reinforcing system user. The research results were published in July 2012 in Radio Science, one of the most prestigious international journals in the field of geophysical studies.
The FAA Technical Center successfully verified Professor Lee’s software and the software is currently being distributed and used by major institutions around the globe, including Eurocontrol. It is expected that the software will be standardized after consultations with international organizations in the recent future.
Professor Lee said, “Satellite navigation is the core of future navigation technology. Since its utilization has been extended to aviation, marine, transportation, telecommunications, finance and other major national infrastructures, it is crucial to ensure the performance and reliability of the system … In the future, cooperation between nations will help to develop the worldwide service of the GPS reinforcing system.”
2013.10.12 View 8575 -
Jellyfish Exterminator Robot Developed
Formation Control demonstrated by JEROS
- Trial performance successfully completed with three assembly robots -
A team led by KAIST Civil and Environmental Engineering Department’s Professor Hyeon Myeong has just finished testing the cooperative assembly robot for jellyfish population control, named JEROS, in the field.
The rising number of accidents and financial losses by fishing industry, estimated at 300 billion won per year, caused by the recent swarm of jellyfish in coastal waters has been a major problem for many years. The research team led by Prof. Hyeon Myeong began developing an unmanned automated system capable of eradicating jellyfishin in 2009, and has since completed field-tests last year with success.
This year, JEROS’s performance and speed has been improved with the ability to work in formation as a cooperative group to efficiently exterminate jellyfish.
An unmanned aquatic robot JEROS with a mountable grinding part is buoyed by two cylindrical bodies that utilizes propulsion motors to move forward and reverse, as well as rotate 360 degrees. Furthermore, GIS (geographic information system)-based map data is used to specify the region for jellyfish extermination, which automatically calculates the path for the task. JEROS then navigates autonomously using a GPS (Global Positioning System) receiver and an INS(inertial navigation system).
The assembly robots maintain a set formation pattern, while calculating its course to perform jellyfish extermination. The advantage of this method is that there is no need for individual control of the robots. Only the leader robot requires the calculated path, and the other robots can simply follow in a formation by exchanging their location information via wireless communication (ZigBee method).
JEROS uses its propulsion speed to capture jellyfish into the grinding part on the bottom, which then suctions the jellyfish toward the propeller to be exterminated.
The field test results show that three assembly robots operating at 4 knots (7.2km/h) disposes jellyfish at the rate of about 900kg/h.
The research team has currently completed testing JEROS at Gyeongnam Masan Bay and is expected to further experiment and improve the performance at various environment and conditions.
JEROS may also be utilized for other purposes including marine patrols, prevention of oil spills and waste removal in the sea.
JEROS research has been funded by Ministry of Science, ICT and Future Planning and Ministry of Trade, Industry and Energy.
2013.09.27 View 16169 -
Household Scale Indoor Position Tracking Technology Developed
Technology that will allow household scale position tracking of smartphones indoors, where GPS signals do not reach, has been developed. It is anticipated that the newly developed technology will enable the tracking of persons indoors in an emergency situation or aid in the finding of a lost smartphone.
Professor Han Dong Soo (Department of Computer Sciences) and his research team has developed the technology that enables tracking a smartphone’s location indoors using wireless LAN signals accurate to 10 meters.
Because the technology utilizes wireless LAN signals and the address of smartphone users, the technology can be implemented for a low cost all over the world.
Conventionally the location of a lost smartphone can be found through a telecommunications company. However the location found using the base station is only accurate to 500m~700m and therefore reclaiming lost smartphones is nearly impossible.
In addition, there have been unfortunate events where the kidnapped victim called the police but was murdered due to the inaccuracy of smartphone location tracking.
The newly developed technology by Professor Han’s team remedies the inaccuracy of smartphone location tracking.
Professor Han’s team collected wireless LAN data recorded in the smartphones for a week to analyze the patterns to distinguish patterns between signals recorded in the workplace and in the household.
The stability and accuracy of the technology was verified over a period of five months in various locations across Korea with varying population densities.
The result was when the total amount of data collected passes 50% of the number of households, the technology show accuracy to 10 meters. The result showed that the new technology can track the location of the smartphone to 10 meters on a household scale. In addition it was possible to distinguish which floor the smartphone was located.
The technology is anticipated to improve smartphone positioning. However caution needs to be practiced as the technology requires the address of the user’s workplace and home.
2012.12.21 View 7545 -
Technology that will allow household scale position tracking of smartphones indoors, where GPS signals do not reach, has been developed. It is anticipated that the newly developed technology will enable the tracking of persons indoors in an emergency situ
Technology that will allow household scale position tracking of smartphones indoors, where GPS signals do not reach, has been developed. It is anticipated that the newly developed technology will enable the tracking of persons indoors in an emergency situation or aid in the finding of a lost smartphone.
Professor Han Dong Soo (Department of Computer Sciences) and his research team has developed the technology that enables tracking a smartphone’s location indoors using wireless LAN signals accurate to 10 meters.
Because the technology utilizes wireless LAN signals and the address of smartphone users, the technology can be implemented for a low cost all over the world.
Conventionally the location of a lost smartphone can be found through a telecommunications company. However the location found using the base station is only accurate to 500m~700m and therefore reclaiming lost smartphones is nearly impossible.
In addition, there have been unfortunate events where the kidnapped victim called the police but was murdered due to the inaccuracy of smartphone location tracking.
The newly developed technology by Professor Han’s team remedies the inaccuracy of smartphone location tracking.
Professor Han’s team collected wireless LAN data recorded in the smartphones for a week to analyze the patterns to distinguish patterns between signals recorded in the workplace and in the household.
The stability and accuracy of the technology was verified over a period of five months in various locations across Korea with varying population densities.
The result was when the total amount of data collected passes 50% of the number of households, the technology show accuracy to 10 meters. The result showed that the new technology can track the location of the smartphone to 10 meters on a household scale. In addition it was possible to distinguish which floor the smartphone was located.
The technology is anticipated to improve smartphone positioning. However caution needs to be practiced as the technology requires the address of the user’s workplace and home.
2012.12.21 View 8423
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Professor Song Joon Hwa develops new Location Tracking Application
Professor Song Joon Hwa developed a location tracking application that alerts the teacher when students on field trips stray too far from the group via a smartphone and a headset.
Conventional Location Tracking Applications utilize GPS systems and as a consequence does not function indoors where the satellite signal is nonexistent. However Professor Song’s method is unique in the fact that it utilizes radio waves which allows signal transfer both indoors and outdoors.
In addition different alerts are given off in difference locations and therefore the technology can be applied in finding the effectiveness of the field trip and the social behaviors of students.
2012.09.11 View 7562