Low-THz radar, lidar and optical imaging through artificially generated fog

L. Daniel; D. Phippen; E. Hoare; A. Stove; M. Cherniakov; M. Gashinova

doi:10.1049/cp.2017.0369

Low-THz radar, lidar and optical imaging through artificially generated fog

L. Daniel, D. Phippen, E. Hoare, A. Stove, M. Cherniakov, M. Gashinova

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This paper presents an initial experimental investigation into multi-sensor imaging of a test scene through artificially generated fog. The sensor set consists of a high-resolution low-THz imaging radar, a lidar and a stereo optical camera. Images are obtained from each sensor in varying densities of fog and presented herein, along with a description and comparison of the findings. The reason for such a study is to highlight the requirement for inclusion of low-THz imaging radar as part of the next generation of automotive sensing, in order to provide terrain imaging in adverse weather conditions, when optical systems may fail to be effective.

Original language	English
Title of host publication	IET Conference Publications
Publisher	Institution of Engineering and Technology (IET)
Edition	CP728
ISBN (Electronic)	9781785614217, 9781785615030, 9781785616624, 9781785616723, 9781785616990, 9781785617072
ISBN (Print)	9781785615078, 9781785615153
DOIs	https://doi.org/10.1049/cp.2017.0369
Publication status	Published - 2017
Event	2017 International Conference on Radar Systems, Radar 2017: International Conference on Radar Systems - Belfast, Belfast, United Kingdom Duration: 23 Oct 2017 → 26 Oct 2017

Publication series

Name	IET Conference Publications
Number	CP728
Volume	2017

Conference

Conference	2017 International Conference on Radar Systems, Radar 2017
Country/Territory	United Kingdom
City	Belfast
Period	23/10/17 → 26/10/17

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 Within the TASCC programme, the PATHCAD project within which this work was performed is a collaboration between the University of Birmingham, the University of Edinburgh and Heriot-Watt University. We would particularly like to acknowledge the help of Prof. Andrew Wallace of Heriot-Watt University and his colleagues Mehryar Emambakhsh and Marcel Sheeny de Moraes in providing the Electro-Optical sensors used in these experiments and support in their operation.

Publisher Copyright:
© 2017 Institution of Engineering and Technology. All rights reserved.

Keywords

Automotive radar
Autonomy
Imaging radar
Low-THz radar

ASJC Scopus subject areas

Electrical and Electronic Engineering

Access to Document

10.1049/cp.2017.0369

Cite this

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title = "Low-THz radar, lidar and optical imaging through artificially generated fog",

abstract = "This paper presents an initial experimental investigation into multi-sensor imaging of a test scene through artificially generated fog. The sensor set consists of a high-resolution low-THz imaging radar, a lidar and a stereo optical camera. Images are obtained from each sensor in varying densities of fog and presented herein, along with a description and comparison of the findings. The reason for such a study is to highlight the requirement for inclusion of low-THz imaging radar as part of the next generation of automotive sensing, in order to provide terrain imaging in adverse weather conditions, when optical systems may fail to be effective.",

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Daniel, L, Phippen, D, Hoare, E, Stove, A, Cherniakov, M & Gashinova, M 2017, Low-THz radar, lidar and optical imaging through artificially generated fog. in IET Conference Publications. CP728 edn, IET Conference Publications, no. CP728, vol. 2017, Institution of Engineering and Technology (IET), 2017 International Conference on Radar Systems, Radar 2017, Belfast, United Kingdom, 23/10/17. https://doi.org/10.1049/cp.2017.0369

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AU - Phippen, D.

AU - Hoare, E.

AU - Stove, A.

AU - Cherniakov, M.

AU - Gashinova, M.

N1 - 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 Within the TASCC programme, the PATHCAD project within which this work was performed is a collaboration between the University of Birmingham, the University of Edinburgh and Heriot-Watt University. We would particularly like to acknowledge the help of Prof. Andrew Wallace of Heriot-Watt University and his colleagues Mehryar Emambakhsh and Marcel Sheeny de Moraes in providing the Electro-Optical sensors used in these experiments and support in their operation. Publisher Copyright: © 2017 Institution of Engineering and Technology. All rights reserved.

PY - 2017

Y1 - 2017

N2 - This paper presents an initial experimental investigation into multi-sensor imaging of a test scene through artificially generated fog. The sensor set consists of a high-resolution low-THz imaging radar, a lidar and a stereo optical camera. Images are obtained from each sensor in varying densities of fog and presented herein, along with a description and comparison of the findings. The reason for such a study is to highlight the requirement for inclusion of low-THz imaging radar as part of the next generation of automotive sensing, in order to provide terrain imaging in adverse weather conditions, when optical systems may fail to be effective.

AB - This paper presents an initial experimental investigation into multi-sensor imaging of a test scene through artificially generated fog. The sensor set consists of a high-resolution low-THz imaging radar, a lidar and a stereo optical camera. Images are obtained from each sensor in varying densities of fog and presented herein, along with a description and comparison of the findings. The reason for such a study is to highlight the requirement for inclusion of low-THz imaging radar as part of the next generation of automotive sensing, in order to provide terrain imaging in adverse weather conditions, when optical systems may fail to be effective.

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Y2 - 23 October 2017 through 26 October 2017

ER -

Low-THz radar, lidar and optical imaging through artificially generated fog

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

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Cite this