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Indoor Mapping with Entertainment Devices: Evaluating the Impact of Different Mapping Strategies for Microsoft HoloLens 2 and Apple iPhone 14 Pro.
Hou, Jiwei; Hübner, Patrick; Schmidt, Jakob; Iwaszczuk, Dorota.
Afiliación
  • Hou J; Remote Sensing and Image Analysis, Department of Civil and Environmental Engineering, Technical University of Darmstadt, 64287 Darmstadt, Germany.
  • Hübner P; Remote Sensing and Image Analysis, Department of Civil and Environmental Engineering, Technical University of Darmstadt, 64287 Darmstadt, Germany.
  • Schmidt J; Geodetic Measurement Systems and Sensor Technology, Department of Civil and Environmental Engineering, Technical University of Darmstadt, 64287 Darmstadt, Germany.
  • Iwaszczuk D; Remote Sensing and Image Analysis, Department of Civil and Environmental Engineering, Technical University of Darmstadt, 64287 Darmstadt, Germany.
Sensors (Basel) ; 24(4)2024 Feb 06.
Article en En | MEDLINE | ID: mdl-38400220
ABSTRACT
Due to their low cost and portability, using entertainment devices for indoor mapping applications has become a hot research topic. However, the impact of user behavior on indoor mapping evaluation with entertainment devices is often overlooked in previous studies. This article aims to assess the indoor mapping performance of entertainment devices under different mapping strategies. We chose two entertainment devices, the HoloLens 2 and iPhone 14 Pro, for our evaluation work. Based on our previous mapping experience and user habits, we defined four simplified indoor mapping strategies straight-forward mapping (SFM), left-right alternating mapping (LRAM), round-trip straight-forward mapping (RT-SFM), and round-trip left-right alternating mapping (RT-LRAM). First, we acquired triangle mesh data under each strategy with the HoloLens 2 and iPhone 14 Pro. Then, we compared the changes in data completeness and accuracy between the different devices and indoor mapping applications. Our findings show that compared to the iPhone 14 Pro, the triangle mesh accuracy acquired by the HoloLens 2 has more stable performance under different strategies. Notably, the triangle mesh data acquired by the HoloLens 2 under the RT-LRAM strategy can effectively compensate for missing wall and floor surfaces, mainly caused by furniture occlusion and the low frame rate of the depth-sensing camera. However, the iPhone 14 Pro is more efficient in terms of mapping completeness and can acquire a complete triangle mesh more quickly than the HoloLens 2. In summary, choosing an entertainment device for indoor mapping requires a combination of specific needs and scenes. If accuracy and stability are important, the HoloLens 2 is more suitable; if efficiency and completeness are important, the iPhone 14 Pro is better.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Sensors (Basel) Año: 2024 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Sensors (Basel) Año: 2024 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Suiza