Please use this identifier to cite or link to this item:
https://doi.org/10.21256/zhaw-29312| Publication type: | Conference paper |
| Type of review: | Peer review (publication) |
| Title: | Improved multi-path interference separation for indirect 3D time-of-flight using particle swarm optimization |
| Authors: | Ludwig, Matthias Andreas Gutknecht, Jonas Loeliger, Teddy |
| et. al: | No |
| DOI: | 10.1109/SENSORS56945.2023.10325089 10.21256/zhaw-29312 |
| Proceedings: | 2023 IEEE SENSORS |
| Conference details: | IEEE Sensors, Vienna, Austria, 29 October - 1 November 2023 |
| Issue Date: | 1-Nov-2023 |
| Publisher / Ed. Institution: | IEEE |
| ISBN: | 979-8-3503-0387-2 |
| ISSN: | 2168-9229 |
| Language: | English |
| Subjects: | Orthogonal matching pursuit (OMP); Particle swarm optimization (PSO); 3D Time-of-Flight (3D ToF); Multi-path interference (MPI); Multi-layer ToF |
| Subject (DDC): | 004: Computer science 621.3: Electrical, communications, control engineering |
| Abstract: | The accuracy of indirect 3D Time-of-Flight (3D ToF) measurements is often limited by multi-path interferences (MPI) caused by multi-layer ToF conditions. Taking multiple measurements of the same scene at different modulation frequencies allows separating the interfering signal components of the individual paths according to several optimization methods described in literature. Orthogonal matching pursuit (OMP) optimization has been reported to achieve good path separation performance and superior results compared to particle swarm optimization (PSO). This work presents improved PSO performance for MPI separation based on new experimental data and refined PSO strategy. The current PSO approach achieves good distance separation in the setup used with low RMS distance errors in the order of 20 cm in situations where the OMP approach shows RMS errors higher than 100 cm. The previously reported minimum distance difference limitation between two separate objects of 2.7m for the OMP algorithm could be reduced to roughly 0.75m for the PSO algorithm. The trade-off between image accuracy and computing effort is explored and presented with respect to PSO parameter settings. |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/29312 |
| Related research data: | https://doi.org/10.5281/zenodo.7892452 |
| Fulltext version: | Accepted version |
| License (according to publishing contract): | Licence according to publishing contract |
| Departement: | School of Engineering |
| Organisational Unit: | Institute of Signal Processing and Wireless Communications (ISC) |
| Published as part of the ZHAW project: | 3D Time-of-Flight in Sensor Fusion |
| Appears in collections: | Publikationen School of Engineering |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2023_Ludwig-etal_Improved-interference-separation_IEEE.pdf | Accepted Version | 1.58 MB | Adobe PDF |  View/Open |
Show full item record
Ludwig, M. A., Gutknecht, J., & Loeliger, T. (2023, November 1). Improved multi-path interference separation for indirect 3D time-of-flight using particle swarm optimization. 2023 Ieee Sensors. https://doi.org/10.1109/SENSORS56945.2023.10325089
Ludwig, M.A., Gutknecht, J. and Loeliger, T. (2023) ‘Improved multi-path interference separation for indirect 3D time-of-flight using particle swarm optimization’, in 2023 IEEE SENSORS. IEEE. Available at: https://doi.org/10.1109/SENSORS56945.2023.10325089.
M. A. Ludwig, J. Gutknecht, and T. Loeliger, “Improved multi-path interference separation for indirect 3D time-of-flight using particle swarm optimization,” in 2023 IEEE SENSORS, Nov. 2023. doi: 10.1109/SENSORS56945.2023.10325089.
LUDWIG, Matthias Andreas, Jonas GUTKNECHT und Teddy LOELIGER, 2023. Improved multi-path interference separation for indirect 3D time-of-flight using particle swarm optimization. In: 2023 IEEE SENSORS. Conference paper. IEEE. 1 November 2023. ISBN 979-8-3503-0387-2
Ludwig, Matthias Andreas, Jonas Gutknecht, and Teddy Loeliger. 2023. “Improved Multi-Path Interference Separation for Indirect 3D Time-of-Flight Using Particle Swarm Optimization.” Conference paper. In 2023 Ieee Sensors. IEEE. https://doi.org/10.1109/SENSORS56945.2023.10325089.
Ludwig, Matthias Andreas, et al. “Improved Multi-Path Interference Separation for Indirect 3D Time-of-Flight Using Particle Swarm Optimization.” 2023 Ieee Sensors, IEEE, 2023, https://doi.org/10.1109/SENSORS56945.2023.10325089.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.