TY - GEN
T1 - Application of a stream-based SAR-backprojection approach for automotive environment perception
AU - Gisder, Thomas
AU - Harrer, Fabian
AU - Biebl, Erwin
N1 - Publisher Copyright:
© 2018 German Institute of Navigation - DGON.
PY - 2018/8/27
Y1 - 2018/8/27
N2 - This paper presents the vehicle integration of a synthetic aperture radar (SAR) algorithm to produce SAR images for automotive scenarios while driving. The focus of this work is on two parts. At the beginning, the hardware setup embedded in the test vehicle is presented as well as the sensor synchronization to provide SAR raw data. Subsequently, a pixel-based parallelization concept for stream-based SAR image calculation on a GPU is introduced. Our experimental results prove that the complete SAR imaging process can be integrated into a vehicle to produce online highly resolved amplitude maps for automated driving applications.
AB - This paper presents the vehicle integration of a synthetic aperture radar (SAR) algorithm to produce SAR images for automotive scenarios while driving. The focus of this work is on two parts. At the beginning, the hardware setup embedded in the test vehicle is presented as well as the sensor synchronization to provide SAR raw data. Subsequently, a pixel-based parallelization concept for stream-based SAR image calculation on a GPU is introduced. Our experimental results prove that the complete SAR imaging process can be integrated into a vehicle to produce online highly resolved amplitude maps for automated driving applications.
UR - http://www.scopus.com/inward/record.url?scp=85053630816&partnerID=8YFLogxK
U2 - 10.23919/IRS.2018.8447924
DO - 10.23919/IRS.2018.8447924
M3 - Conference contribution
AN - SCOPUS:85053630816
SN - 9783736995451
T3 - Proceedings International Radar Symposium
BT - 2018 19th International Radar Symposium, IRS 2018
A2 - Rohling, Hermann
PB - IEEE Computer Society
T2 - 19th International Radar Symposium, IRS 2018
Y2 - 20 June 2018 through 22 June 2018
ER -