Error Reduction by Reflected Signals in Automotive Radar Network Systems
Summary :
We focus on forward-looking radar network systems for automotive usages. By using multiple radars, the radar network systems will achieve reliable detection and wide observation area. The forward-looking systems by cameras are famous. In order to realize more reliable safety, the cameras had better be used with other sensing devices such as the radar network. In the radar network, processing of the data, which is derived from the multiple receivers, is important because the processing decides the estimation performance. In this paper, we will introduce our estimation algorithm which focuses on target existence probability and virtual receivers. The performance will be evaluated by simulated targets which are both single point model and 3D target model.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E98-A No.2 pp.597-605
- Publication Date
- 2015/02/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E98.A.597
- Type of Manuscript
- Special Section PAPER (Special Section on Wideband Systems)
- Category
Authors
Hiroyuki HATANO
Utsunomiya University
Masahiro FUJII
Utsunomiya University
Atsushi ITO
Utsunomiya University
Yu WATANABE
Utsunomiya University
Yusuke YOSHIDA
Shizuoka University
Takayoshi NAKAI
Shizuoka University
Keyword
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Hiroyuki HATANO, Masahiro FUJII, Atsushi ITO, Yu WATANABE, Yusuke YOSHIDA, Takayoshi NAKAI, "Error Reduction by Reflected Signals in Automotive Radar Network Systems" in IEICE TRANSACTIONS on Fundamentals,
vol. E98-A, no. 2, pp. 597-605, February 2015, doi: 10.1587/transfun.E98.A.597.
Abstract: We focus on forward-looking radar network systems for automotive usages. By using multiple radars, the radar network systems will achieve reliable detection and wide observation area. The forward-looking systems by cameras are famous. In order to realize more reliable safety, the cameras had better be used with other sensing devices such as the radar network. In the radar network, processing of the data, which is derived from the multiple receivers, is important because the processing decides the estimation performance. In this paper, we will introduce our estimation algorithm which focuses on target existence probability and virtual receivers. The performance will be evaluated by simulated targets which are both single point model and 3D target model.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E98.A.597/_p
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@ARTICLE{e98-a_2_597,
author={Hiroyuki HATANO, Masahiro FUJII, Atsushi ITO, Yu WATANABE, Yusuke YOSHIDA, Takayoshi NAKAI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Error Reduction by Reflected Signals in Automotive Radar Network Systems},
year={2015},
volume={E98-A},
number={2},
pages={597-605},
abstract={We focus on forward-looking radar network systems for automotive usages. By using multiple radars, the radar network systems will achieve reliable detection and wide observation area. The forward-looking systems by cameras are famous. In order to realize more reliable safety, the cameras had better be used with other sensing devices such as the radar network. In the radar network, processing of the data, which is derived from the multiple receivers, is important because the processing decides the estimation performance. In this paper, we will introduce our estimation algorithm which focuses on target existence probability and virtual receivers. The performance will be evaluated by simulated targets which are both single point model and 3D target model.},
keywords={},
doi={10.1587/transfun.E98.A.597},
ISSN={1745-1337},
month={February},}
Copy
TY - JOUR
TI - Error Reduction by Reflected Signals in Automotive Radar Network Systems
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 597
EP - 605
AU - Hiroyuki HATANO
AU - Masahiro FUJII
AU - Atsushi ITO
AU - Yu WATANABE
AU - Yusuke YOSHIDA
AU - Takayoshi NAKAI
PY - 2015
DO - 10.1587/transfun.E98.A.597
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E98-A
IS - 2
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - February 2015
AB - We focus on forward-looking radar network systems for automotive usages. By using multiple radars, the radar network systems will achieve reliable detection and wide observation area. The forward-looking systems by cameras are famous. In order to realize more reliable safety, the cameras had better be used with other sensing devices such as the radar network. In the radar network, processing of the data, which is derived from the multiple receivers, is important because the processing decides the estimation performance. In this paper, we will introduce our estimation algorithm which focuses on target existence probability and virtual receivers. The performance will be evaluated by simulated targets which are both single point model and 3D target model.
ER -
English
