| Titre : |
Perfect vision for autonomous vehicle : Straightforward analysis and characterization of plastic materials for radar systems |
| Type de document : |
texte imprimé |
| Auteurs : |
Andreas von Lösecke, Auteur ; Yannic Kessler, Auteur |
| Année de publication : |
2021 |
| Article en page(s) : |
p. 18-21 |
| Langues : |
Anglais (eng) |
| Catégories : |
Capteurs (technologie)
Capteurs radar
Caractérisation
Essais (technologie)
Matières plastiques dans les automobiles
Polypropylène
Véhicules autonomes
|
| Index. décimale : |
668.4 Plastiques, vinyles |
| Résumé : |
Autonomous and semi-autonomous vehicles rely on a complex hardware and software architecture that uses data from many different types of sensors. In order to generate reliable data, the sensors require an undisturbed view of the surroundings. For example, plastic parts used in radar systems must not disturb the functioning of the sensors. Comprehensive tests are required to investigate the suitability of such parts for radar applications. Specialized measuring systems and test setups can greatly simplify the testing process. |
| Note de contenu : |
- Characterizing materials with a vector network analyzer
- Measuring system with reduced complexity
- Differences between tests in production and development
- Identical quality despite lower resolution
- Material characterization with an over-the-air setup
- Fig. 1 : Reflection, absorption and transmission on a radome: since the target reflects the signal, a maximum allowable two-way loss is always defined for radomes
- Fig. 2 : The wavefront is distorted by inhomogeneities in the radome and provides a distorted image of the surroundings to the radar sensor
- Fig. 3 : Spatially resolved reflection image for a design emblem (left) with transmission curve vs. frequency (right): through analysis, it is possible to determine whether the radar sensor provides a meaningful picture of the surroundings
- Fig. 4 : Visualization of the phase response for the same radome from Figure 1 analyzed with an R&S QAR system : phase angle distortions are clearly visible
- Fig. 5 : Measurement of transmission loss vs. frequency (left) with reflection values (right), in each case for both sides of the radome: the differences in the reflection curve can be explained on the basis of the different measurement procedures, the inhomogeneity of the IUT and the different measurement surfaces that were selected
- Fig. 6 : Frequency response for the reflection measurement on a sheet of Schulablend M/MK 6501 LE: the determined permittivity value is practically equivalent to the result obtained through costly materials testing |
| En ligne : |
https://drive.google.com/file/d/1ayaphEFE-p5Z9xjLoSmooaoNvHJl3plC/view?usp=drive [...] |
| Format de la ressource électronique : |
Pdf |
| Permalink : |
https://e-campus.itech.fr/pmb/opac_css/index.php?lvl=notice_display&id=35491 |
in KUNSTSTOFFE INTERNATIONAL > Vol. 112, N° 2 (2021) . - p. 18-21
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Perfect vision for autonomous vehicle in KUNSTSTOFFE INTERNATIONAL, Vol. 112, N° 2 (2021)
