1:30 PM - 1:45 PM
[032] Development and Verification of a Support App. “SiMT” for Weak People on Transportation Using AR Technology
Keywords:AR, 3D scan ,spatial recognition, digital twin, self-position estimation
In recent years, with the development of IT technology, a variety of information services in cities have become convenient and easily obtainable for everyone. However, information support provisions for users in cities using these IT technologies are still not sufficient. Many of these technologies are aimed at the general public and not all of them have been optimized for persons with disabilities, such as wheelchair users, the elderly, pregnant women, those with strollers, and so on. There is also insufficient support to provide information needed to move around in public transportation facilities such as stations, airports and large commercial facilities, which have become increasingly common in recent years in Japan. Therefore, in this study, we analyzed the demand for a navigation system for such aforementioned facility based on the current signage situation. We used AR technology to develop an application, “Smart Info. & Mobility Town” (SiMT), which is aimed at supporting movement in SAKURA MACHI Kumamoto, a commercial complex built in Kumamoto City, Kumamoto Prefecture, Japan in 2019.
The following methods were used to conduct study. 1; Performed 3D scans of SAKURA MACHI Kumamoto and created a 3D map. 2; Arranged Nodes and links on the 3D map, and incorporated algorithms for route search for general public and mobility impaired people. 3; Developed a system for spatial recognition and self-position estimation from anywhere in the target area. 4;Validated self-location estimation and path search, and summarize this study.
The SiMT developed in this study estimates its own location using a 3D map of SAKURA MACHI Kumamoto and the camera function of a smartphone. The SiMT can start guiding the user anywhere in the facility, and can also guide the user to all the stores and restrooms in the facility at the destination. SiMT also supports the user’s movement by using AR technology that combines CG images of the route from the current location to the destination with images projected on the screen of the smartphone.
SiMT is capable of planning suitable routes not only for able-bodied people, but also for wheelchair users, the elderly, and other transportation-disadvantaged people. By developing these technologies, we envisioned the future deployment of these technologies, including support in times of disaster and deployment in urban areas
The following methods were used to conduct study. 1; Performed 3D scans of SAKURA MACHI Kumamoto and created a 3D map. 2; Arranged Nodes and links on the 3D map, and incorporated algorithms for route search for general public and mobility impaired people. 3; Developed a system for spatial recognition and self-position estimation from anywhere in the target area. 4;Validated self-location estimation and path search, and summarize this study.
The SiMT developed in this study estimates its own location using a 3D map of SAKURA MACHI Kumamoto and the camera function of a smartphone. The SiMT can start guiding the user anywhere in the facility, and can also guide the user to all the stores and restrooms in the facility at the destination. SiMT also supports the user’s movement by using AR technology that combines CG images of the route from the current location to the destination with images projected on the screen of the smartphone.
SiMT is capable of planning suitable routes not only for able-bodied people, but also for wheelchair users, the elderly, and other transportation-disadvantaged people. By developing these technologies, we envisioned the future deployment of these technologies, including support in times of disaster and deployment in urban areas