Doppler Beam Sharpening for High-Resolution Imaging in Dynamic Automotive Scenes

Scott Cassidy; Sukhjit Pooni; Anum Pirkani; Edward Hoare; Mike Cherniakov; Marina Gashinova

doi:10.23919/EuRAD54643.2022.9924919

Doppler Beam Sharpening for High-Resolution Imaging in Dynamic Automotive Scenes

Scott Cassidy, Sukhjit Pooni, Anum Pirkani, Edward Hoare, Mike Cherniakov, Marina Gashinova

Electronic, Electrical and Systems Engineering

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

Abstract

With the current push towards increased levels of autonomy in the automotive sector, accurate sensing of the vehicle surroundings is critical, even under challenging environmental conditions. Automotive radar is well suited to this application. This paper describes a novel approach which uses a combination of Doppler beam sharpening, for high resolution imaging of the stationary environment, and a multi-target tracker for estimating the positions and velocities of dynamic targets. Experimental results recorded from a moving vehicle are presented.

Original language	English
Title of host publication	2022 19th European Radar Conference (EuRAD)
Publisher	IEEE
Number of pages	4
ISBN (Electronic)	9782874870712
ISBN (Print)	9781665458795 (PoD)
DOIs	https://doi.org/10.23919/EuRAD54643.2022.9924919
Publication status	Published - 25 Oct 2022
Event	19th European Radar Conference (EuRAD 2022) - Milan, Italy Duration: 28 Sept 2022 → 30 Sept 2022

Publication series

Name	European Radar Conference (EURAD)

Conference

Conference	19th European Radar Conference (EuRAD 2022)
Abbreviated title	EuRAD 2022
Country/Territory	Italy
City	Milan
Period	28/09/22 → 30/09/22

Bibliographical note

Acknowledgment:
This work is supported by Innovate UK funded project 104268 "Cognitive Real Time Sensing System for Autonomous Vehicles (CORTEX)". Authors gratefully acknowledge Jaguar Land Rover and HORIBA MIRA for providing equipment, assistance and the use testing facilities for experimental validation.

Keywords

automotive radar
imaging
Doppler beam sharpening

Access to Document

10.23919/EuRAD54643.2022.9924919

CORTEX
Gashinova, M. (Principal Investigator), Cherniakov, M. (Co-Investigator) & Windridge, D. (Co-Investigator)
TECHNOLOGY STRATEGY BOARD
1/03/19 → 31/03/22
Project: Other Government Departments

Cite this

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title = "Doppler Beam Sharpening for High-Resolution Imaging in Dynamic Automotive Scenes",

abstract = "With the current push towards increased levels of autonomy in the automotive sector, accurate sensing of the vehicle surroundings is critical, even under challenging environmental conditions. Automotive radar is well suited to this application. This paper describes a novel approach which uses a combination of Doppler beam sharpening, for high resolution imaging of the stationary environment, and a multi-target tracker for estimating the positions and velocities of dynamic targets. Experimental results recorded from a moving vehicle are presented.",

keywords = "automotive radar, imaging, Doppler beam sharpening",

author = "Scott Cassidy and Sukhjit Pooni and Anum Pirkani and Edward Hoare and Mike Cherniakov and Marina Gashinova",

note = "Acknowledgment: This work is supported by Innovate UK funded project 104268 {"}Cognitive Real Time Sensing System for Autonomous Vehicles (CORTEX){"}. Authors gratefully acknowledge Jaguar Land Rover and HORIBA MIRA for providing equipment, assistance and the use testing facilities for experimental validation.; 19th European Radar Conference (EuRAD 2022), EuRAD 2022 ; Conference date: 28-09-2022 Through 30-09-2022",

year = "2022",

month = oct,

day = "25",

doi = "10.23919/EuRAD54643.2022.9924919",

language = "English",

isbn = "9781665458795 (PoD)",

series = "European Radar Conference (EURAD)",

publisher = "IEEE",

booktitle = "2022 19th European Radar Conference (EuRAD)",

}

Cassidy, S, Pooni, S, Pirkani, A , Hoare, E , Cherniakov, M & Gashinova, M 2022, Doppler Beam Sharpening for High-Resolution Imaging in Dynamic Automotive Scenes. in 2022 19th European Radar Conference (EuRAD)., 9924919, European Radar Conference (EURAD), IEEE, 19th European Radar Conference (EuRAD 2022), Milan, Italy, 28/09/22. https://doi.org/10.23919/EuRAD54643.2022.9924919

TY - GEN

T1 - Doppler Beam Sharpening for High-Resolution Imaging in Dynamic Automotive Scenes

AU - Cassidy, Scott

AU - Pooni, Sukhjit

AU - Pirkani, Anum

AU - Hoare, Edward

AU - Cherniakov, Mike

AU - Gashinova, Marina

N1 - Acknowledgment: This work is supported by Innovate UK funded project 104268 "Cognitive Real Time Sensing System for Autonomous Vehicles (CORTEX)". Authors gratefully acknowledge Jaguar Land Rover and HORIBA MIRA for providing equipment, assistance and the use testing facilities for experimental validation.

PY - 2022/10/25

Y1 - 2022/10/25

N2 - With the current push towards increased levels of autonomy in the automotive sector, accurate sensing of the vehicle surroundings is critical, even under challenging environmental conditions. Automotive radar is well suited to this application. This paper describes a novel approach which uses a combination of Doppler beam sharpening, for high resolution imaging of the stationary environment, and a multi-target tracker for estimating the positions and velocities of dynamic targets. Experimental results recorded from a moving vehicle are presented.

AB - With the current push towards increased levels of autonomy in the automotive sector, accurate sensing of the vehicle surroundings is critical, even under challenging environmental conditions. Automotive radar is well suited to this application. This paper describes a novel approach which uses a combination of Doppler beam sharpening, for high resolution imaging of the stationary environment, and a multi-target tracker for estimating the positions and velocities of dynamic targets. Experimental results recorded from a moving vehicle are presented.

KW - automotive radar

KW - imaging

KW - Doppler beam sharpening

U2 - 10.23919/EuRAD54643.2022.9924919

DO - 10.23919/EuRAD54643.2022.9924919

M3 - Conference contribution

SN - 9781665458795 (PoD)

T3 - European Radar Conference (EURAD)

BT - 2022 19th European Radar Conference (EuRAD)

PB - IEEE

T2 - 19th European Radar Conference (EuRAD 2022)

Y2 - 28 September 2022 through 30 September 2022

ER -

Doppler Beam Sharpening for High-Resolution Imaging in Dynamic Automotive Scenes

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

Fingerprint

Projects

CORTEX

Cite this