KAIST research team developed indoor-outdoor combined navigation that has an error range of 3 to 5 meters from left to right.
KAIST’s research team led by Professor Han Dong Soo of Computer Science Department announced on the 3rd that it has developed navigation system called ‘Campus ATLAS’ that guides a person to exact location in indoor and outdoor and has applied it to KAIST campus.
This system can exactly sort out which floor the destination is located if it enters indoor. Its error range is only 3 to 5 meters from left to right.
It can also search destination with just a name of an event such as seminars or lectures.
To implement this system at KAIST, research team built about 200 KAIST indoor maps, 400 point of interests (POI), 7000 indoor and outdoor routes that are made up of nodes, and 40 wireless-LAN fingerprint mappings per building.
Research team implemented information that it has collected into global indoor positioning recognition system ‘Kairos’ that was put out in March and introduced it to public.
As a user participating method (Cloud Sourcing), ‘Kairos’ is a indoor GPS system that provides indoor navigation service by collecting indoor mappings and signal mappings of the whole world. It has list of indoor mappings, wireless signal collection tool, indoor route design tool, and others.
Not only research team will focus on universities, it is also planning to expand its system’s applicable range to locations that require combined navigation service such as transfer stations of subways and buses, locations where indoor and outdoor shopping malls coexist, and others hereafter.
“We are not going to just settle on road guide service, but we are going to develop towards campus life-logging, attendance check automation, and others. Our plan is to develop this campus as location-based Smart Campus that provides new education and research environment.” said Professor Han Dong Soo.
Staff Reporter Park, Heebum | hbpark@etnews.com