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https://doi.org/10.21256/zhaw-29312Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Ludwig, Matthias Andreas | - |
| dc.contributor.author | Gutknecht, Jonas | - |
| dc.contributor.author | Loeliger, Teddy | - |
| dc.date.accessioned | 2023-12-01T17:36:56Z | - |
| dc.date.available | 2023-12-01T17:36:56Z | - |
| dc.date.issued | 2023-11-01 | - |
| dc.identifier.isbn | 979-8-3503-0387-2 | de_CH |
| dc.identifier.issn | 2168-9229 | de_CH |
| dc.identifier.uri | https://digitalcollection.zhaw.ch/handle/11475/29312 | - |
| dc.description.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. | de_CH |
| dc.language.iso | en | de_CH |
| dc.publisher | IEEE | de_CH |
| dc.rights | Licence according to publishing contract | de_CH |
| dc.subject | Orthogonal matching pursuit (OMP) | de_CH |
| dc.subject | Particle swarm optimization (PSO) | de_CH |
| dc.subject | 3D Time-of-Flight (3D ToF) | de_CH |
| dc.subject | Multi-path interference (MPI) | de_CH |
| dc.subject | Multi-layer ToF | de_CH |
| dc.subject.ddc | 004: Informatik | de_CH |
| dc.subject.ddc | 621.3: Elektro-, Kommunikations-, Steuerungs- und Regelungstechnik | de_CH |
| dc.title | Improved multi-path interference separation for indirect 3D time-of-flight using particle swarm optimization | de_CH |
| dc.type | Konferenz: Paper | de_CH |
| dcterms.type | Text | de_CH |
| zhaw.departement | School of Engineering | de_CH |
| zhaw.organisationalunit | Institute of Signal Processing and Wireless Communications (ISC) | de_CH |
| dc.identifier.doi | 10.1109/SENSORS56945.2023.10325089 | de_CH |
| dc.identifier.doi | 10.21256/zhaw-29312 | - |
| zhaw.conference.details | IEEE Sensors, Vienna, Austria, 29 October - 1 November 2023 | de_CH |
| zhaw.funding.eu | No | de_CH |
| zhaw.originated.zhaw | Yes | de_CH |
| zhaw.publication.status | acceptedVersion | de_CH |
| zhaw.publication.review | Peer review (Publikation) | de_CH |
| zhaw.title.proceedings | 2023 IEEE SENSORS | de_CH |
| zhaw.funding.snf | 198986 | de_CH |
| zhaw.funding.zhaw | 3D Time-of-Flight in Sensor Fusion | de_CH |
| zhaw.author.additional | No | de_CH |
| zhaw.display.portrait | Yes | de_CH |
| zhaw.relation.references | https://doi.org/10.5281/zenodo.7892452 | de_CH |
| 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 |
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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.
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