Abstract
In this paper we present a series of road scene images recorded with a prototype high resolution low-THz imaging radar. The aim of this study is to assess the images in order to identify and extract features of interest for scene characterisation to aid the development of future autonomous vehicles. Images were recorded at multiple radar heights in order to assess the effect of illumination angle on the selected features. At this stage of research the recorded images are presented and more qualitative analysis of a subset of the features is given..
| Original language | English |
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| Title of host publication | 2017 18th International Radar Symposium, IRS 2017 |
| Editors | Hermann Rohling |
| Publisher | IEEE Computer Society Press |
| ISBN (Electronic) | 9783736993433 |
| DOIs | |
| Publication status | Published - 10 Aug 2017 |
| Event | 18th International Radar Symposium, IRS 2017 - Prague, Czech Republic Duration: 28 Jun 2017 → 30 Jun 2017 |
Publication series
| Name | Proceedings International Radar Symposium |
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| ISSN (Print) | 2155-5753 |
Conference
| Conference | 18th International Radar Symposium, IRS 2017 |
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| Country/Territory | Czech Republic |
| City | Prague |
| Period | 28/06/17 → 30/06/17 |
Bibliographical note
Funding Information:This work was supported by Jaguar Land Rover and the UK-EPSRC grant EP/N012372/1 as part of the jointly funded Towards Autonomy: Smart and Connected Control (TASCC) Programme
Publisher Copyright:
© 2017 DGON.
ASJC Scopus subject areas
- Computer Networks and Communications
- Computer Science Applications
- Signal Processing
- Electrical and Electronic Engineering
- Astronomy and Astrophysics
- Instrumentation