Estimation of Spatial Features in 3-D-Sensor Network Using Multiple LiDARs for Indoor Monitoring

Azuma, Kenta; Akiyama, Kuon; Shinkuma, Ryoichi; Trovato, Gabriele; Nihei, Keiji; Iwai, Takanori

doi:10.1109/jsen.2023.3247302

Search citation statements

Order By: Relevance

Paper Sections

Select...

Related Work and Contribution1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2023

2024

Publication Types

Select...

Other2

Article1

Relationship

Self Cite0

Independent3

Authors

Journals

Cited by 3 publications

(1 citation statement)

References 52 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In most digital twin approaches rather expensive light detection and ranging (LiDAR) sensors are used, e.g., [7], [8]. Taurino and Villa, however, point out the necessity of cost-effective solutions to capture data for the creation of digital twins especially in SMEs [9].…”

Section: Related Work and Contributionmentioning

confidence: 99%

Stereo Vision and LiDAR Based Point Cloud Acquisition for Creating Digital Twins in Indoor Applications

Kuzminykh,

Rohde,

Gottschewski-Meyer

et al. 2023

2023 IEEE 12th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applicat

View full text Add to dashboard Cite

We present an approach towards a data acquisition system for digital twins that uses a 5G network for data transmission and localization. The current hardware setup, which utilizes stereo vision and LiDAR for 3D mapping, is explained together with two recorded point cloud data sets. Furthermore, a resulting digital twin comprised of voxelized point cloud data is shown. Ideas for future applications and challenges regarding the system are discussed and an outlook on further development is given.

show abstract

Section: Related Work and Contributionmentioning

confidence: 99%