An Augmented Reality Assistance System to See-Through Vehicle Components

Poschke, Alexander; Jütte, Lukas; Küster, Benjamin; Overmeyer, Ludger

doi:10.21203/rs.3.rs-1754735/v1

Cited by 3 publications

(2 citation statements)

References 34 publications

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“…Augmented Reality Components (Simorangkir & Rohaeti, 2019); (Baker et al, 2023); (Hübner et al, 2018); (Balaji et al, 2022); (Blut & Blankenbach, 2021); (Poschke et al, 2022) Tracking system (Lv et al, 2021); (Navab et al, 2022); (Sobota et al, 2020) Graphic system (Arena et al, 2022); (Xiong et al, 2021); (Liu et al, 2023) System display…”

Section: Sourcesmentioning

confidence: 99%

Current Trend of Artificial Intelligence-Augmented Reality in Science Learning: Systematic Literature Review

Kharisma,

Sudirman,

Edi

et al. 2023

jppipa, pendidikan ipa, fisika, biologi, kimia

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Technologies enable organizations to support and improve knowledge management practices. First, it will be easier to define augmented and virtual reality concepts to better understand them. Artificial Intelligence technology enables organizations to support and improve knowledge management practices. The research aims to explain the current trend of artificial intelligence-augmented reality in science learning. A review is conducted on the state-of-the-art methods using the preferred reporting items for reviews and meta-analyses (PRISMA) guidelines. An innovation in educational technology to support learning is the existence of AI technology. Technology may speed up education when used wisely and responsibly. The development of artificial intelligence technology can help pupils become more independent. The teacher does not have to play such a dominant role, but his responsibilities are laid out in the context of offering illumination through significant keywords. The basis for every use of technology for teachers is to continue to prioritize the essence of teaching, namely managing the morale and behavior of students.

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Section: Sourcesmentioning

confidence: 99%

Current Trend of Artificial Intelligence-Augmented Reality in Science Learning: Systematic Literature Review

Kharisma,

Sudirman,

Edi

et al. 2023

jppipa, pendidikan ipa, fisika, biologi, kimia

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“…An example of the need represents the development of methods to study the accuracy of see-through AR applications. A see-through application projects 2D 16 or 3D information of a hidden scene on view restrictions 17 to see-through objects. Typically, the accuracy of an AR system can be quantified by the registration error 18 .…”

Section: Introductionmentioning

confidence: 99%

Marker-based registration error estimation in see-through AR applications

Jütte,

Poschke,

Overmeyer

2023

Novel Optical Systems, Methods, and Applications XXVI

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The precise overlay in see-through AR applications and the development of methods to calculate the registration error for such applications using an AR head-mounted display (HMD) present significant challenges. This difficulty arises primarily due to the absence of ground truth data (GTD) as the scene is partially hidden by view restrictions. Traditional approaches may require expensive setups, like cameras or laser scanners, to capture the hidden area and generate GTD. We propose an approach to calculate the registration error by using a marker-based pose estimation method. We use synthetic data to show the suitability of our method. The synthetic data is created in Unity, where we replicated a see-through application. Therefore, we employ image augmentation technologies for simulating a real see-through forklift application. The utilization of the simulation environment enables the generation of GT). This data forms the basis for evaluating the accuracy of our proposed method. Our primary contributions include a simulated see-through AR application in Unity, a labeled, application-specific synthetic dataset, and a validated method for determining the 3D registration error in world units (mm). This work demonstrates the suitability of the development of a marker-based registration error method to determine a 3D registration error in AR HMD see-through applications, providing an alternative to traditional, more costly approaches.

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