Abstract
This paper experimentally examines backscattering of electromagnetic signals with frequencies of 79 GHz, 300 GHz, and 680 GHz from surfaces with different roughness. It is shown that signals in the low-Terahertz range have enhanced capabilities for evaluating surface roughness. The results provide the basis for creating remote surface identification system for automotive use, which will be of particular advantage in surface classification, object classification and path determination in autonomous automotive vehicle operation.
| Original language | English |
|---|---|
| Title of host publication | 2019 20th International Radar Symposium, IRS 2019 |
| Editors | Peter Knott |
| Publisher | IEEE Computer Society Press |
| ISBN (Electronic) | 9783736998605 |
| DOIs | |
| Publication status | Published - Jun 2019 |
| Event | 20th International Radar Symposium, IRS 2019 - Ulm, Germany Duration: 26 Jun 2019 → 28 Jun 2019 |
Publication series
| Name | Proceedings International Radar Symposium |
|---|---|
| Volume | 2019-June |
| ISSN (Print) | 2155-5753 |
Conference
| Conference | 20th International Radar Symposium, IRS 2019 |
|---|---|
| Abbreviated title | IRS 2019 |
| Country/Territory | Germany |
| City | Ulm |
| Period | 26/06/19 → 28/06/19 |
Bibliographical note
Publisher Copyright:© 2019 German Institute of Navigation (DGON).
ASJC Scopus subject areas
- Computer Networks and Communications
- Computer Science Applications
- Signal Processing
- Electrical and Electronic Engineering
- Astronomy and Astrophysics
- Instrumentation
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