MARS: A Cross-Platform Mobile AR System for Remote Collaborative Instruction and Installation Support using Digital Twins

Tadeja, Sławomir K.; Janik, Diana; Stachura, Przemyslaw; Tomecki, Maciej; Ksiazczak, Karol; Walas, Krzysztof

doi:10.1109/vrw55335.2022.00083

Cited by 4 publications

(1 citation statement)

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“…Indeed, the development of Industry 4.0 and Society 5.0 applications leads to challenges such as cost-efficient customization of products and services [9], to the heterogeneity of devices [10], operating systems (OS) [11], software development platforms [12], and intelligent agents (IA) [13], as well as to the growth of advanced technologies such as machine virtual reality (VR) [14], digital twins (DT) [15], internet of things (IoT) [16], secure cloud storage [17], big data processing [18], machine learning [19], etc., which all require multi-platformbased solutions. Therefore, software engineers have to develop applications running on different types of platforms.…”

Section: Introductionmentioning

confidence: 99%

Cross-Platform Mobile Application Development for Smart Services

Wheeler

Olszewska

2022

2022 IEEE 22nd International Symposium on Computational Intelligence and Informatics and 8th IEEE International Conference on R

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Current technological advances and the growth of smart applications and services require the development of multi-platform mobile applications. Writing software to run on multiple computing platforms can involve a large amount of duplicate effort. This duplicate effort can take the form of re-implementing the business logic in a different language, re-implementing the user interface or, in many cases, re-implementing both for each platform. There are many crossplatform frameworks to help reduce or eliminate this effort, but they make compromises on performance or user experience. Hence, this paper presents a cross-platform framework whose goal is to reduce this compromise by aiming to minimise platform-specific code, but not eliminate it. Using this method will allow all platforms to have a featurerich, native interface, with most of the code, including user interface code, contained in a cross-platform library used by all platforms. Hence, this work establishes a framework for developing cross-platform GUI applications, involving the design and development of a common library as well as translation libraries for iOS, Android, and Windows. This developed framework has been successfully applied to the implementation of a real-world application for smart lift services.

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