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Improve mobile intelligent sightseeing vehicles through A and mobile technology.

Authors: Jinning Zhang;

Improve mobile intelligent sightseeing vehicles through A and mobile technology.

Abstract

As a newly emerging tourist transportation tool in recent years, intelligent sightseeing vehicles adopt advanced automatic driving technology and energy-saving electric drive technology. However, there is still much room for improvement, so the research theme of this paper is the combination of mobile intelligent sightseeing vehicles and AR technology. Based on the traditional intelligent sightseeing vehicles, this research applies new technologies: planning and driving on different terrain by using the method of self-performance margin estimation of vehicles; Through computer algorithms and GPS positioning to capture object attractions and in the form of AR on the OLED screen, various cultural and historical information of the attractions are provided to customers through tracking bubbles, giving them a new sightseeing experience. In the future, with the development of The Times and the continuous progress of science and technology, this mobile AR sightseeing vehicle will provide tourists with a deeper immersive sightseeing experience and will also bring new development to the tourism industry.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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