experience, including guided tours, interactive
exhibitions, historical reenactments, etc., by in-depth
study of some cases of actual tourism projects or
attractions. (Chen et al.,
2021) improved visitor
acceptance and learning motivation by using
augmented reality in museums, researching and
analyzing relevant theories and empirical evidence,
and integrating them into a functional research
prototype and framework. (Xueqiu Z et al., 2022)
studied an interactive navigation system combined
with augmented reality technology to provide
geographical location-based tourism services for
tourists at tourist attractions and provide tourists with
reasonable travel itineraries. (KG et al.,
2023)
introduced augmented reality into the navigation
system and proposed an AR enhanced navigation
system based on the location of automated teller
machine (ATM) counters and bank branches selected
by the user, so that the user can reach the ATM
through the best path.
In the field of museum navigation, the navigation
system based on augmented reality technology
provides visitors with a new experience and
interaction method, which greatly enriches the
sensory and cognitive experience of museum visits.
For example, the National Gallery in Berlin,
Germany, uses augmented reality technology to
develop a navigation system called "Unseen Art",
which aims to enable visitors to see virtual paintings
by superimposing virtual images on real oil paintings.
Discover the details and colors hidden under the
canvas to deepen your understanding and
appreciation of the artwork. Domestically, the
research team of Zhejiang University has also carried
out research work on a museum navigation system
based on AR technology. The system adopts a multi-
level guidance method to provide users with a more
intuitive and vivid navigation experience.
The exhibits in the Yangshao Cultural Museum
are basically pottery, bone vessels and other fragile
objects. They can only be displayed after being
excavated and repaired. In order to prevent them from
being broken again, they can only be placed in glass
cabinets. There are small cards under the exhibits for
introduction. Basic information such as the name and
origin of the cultural relic is provided with graphic
explanations of such exhibits on the wall behind the
exhibit. This study designs and develops a museum
navigation system based on key technologies such as
real-time tracking, graphic registration and
interaction of augmented reality technology, aiming
to improve visitors' navigation experience and
strengthen interaction and communication between
exhibits and audiences. By overlaying virtual
information and scenes in visitors' field of vision, the
museum navigation system can realize real-time
presentation, interactive display and interpretation of
multimedia information, allowing visitors to have a
more comprehensive and in-depth understanding and
appreciation of the exhibits.
2 KEY TECHNOLOGIES
The augmented reality system has the characteristics
of virtual and real combination, real-time interaction,
and three-dimensional registration (
WANG 2020).
It uses display technology, interaction technology,
sensing technology, and computer graphics
technology to integrate the computer-generated
virtual environment with the real environment around
the user (XU et al., 2023).
2.1 Sensor Technology
Augmented reality systems require sensors to obtain
environmental information and user interactions.
Commonly used sensor technologies include
cameras, gyroscopes, accelerometers, and GPS (HE
et al., 2022). Cameras are used to capture real-world
images, gyroscopes and accelerometers are used to
detect the device's orientation and acceleration, and
GPS is used to locate the user's location.
2.2 Technology for Tracking
Registrations
Augmented reality systems need to be able to
recognize and track real-world objects or images in
order to overlay virtual content on top of them. The
main tracking registration methods used are: tracker-
based tracking of user location, vision-based tracking
registration, hybrid tracking registration, etc. (HAN
et al., 2019). At present, the research on registration
technology based on computer vision is in a dominant
position, which can be roughly divided into two
categories: identification-based tracking registration
and marker-less tracking registration, as shown in
Figure 1.