We developed a system that detects the vehicle driving immediately ahead of one's own car in the same lane and measures the distance to and relative speed of that vehicle to prevent accidents such as rear-end collisions. The system is the first in the industry to use non-scanning millimeter-wave radar combined with a sturdy stereo image sensor, which keeps cost low. It can operate stably in adverse weather conditions such as rain, which could not easily be done with previous sensors. The system's vehicle detection performance was tested, and the system can correctly detect vehicles driving 3 to 50 m ahead in the same lane with higher than 99% accuracy in clear weather. Detection performance in rainy weather, where water drops and splashes notably degraded visibility, was higher than 90%.
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Eigo SEGAWA, Morito SHIOHARA, Shigeru SASAKI, Norio HASHIGUCHI, Tomonobu TAKASHIMA, Masatoshi TOHNO, "Preceding Vehicle Detection Using Stereo Images and Non-scanning Millimeter-Wave Radar" in IEICE TRANSACTIONS on Information,
vol. E89-D, no. 7, pp. 2101-2108, July 2006, doi: 10.1093/ietisy/e89-d.7.2101.
Abstract: We developed a system that detects the vehicle driving immediately ahead of one's own car in the same lane and measures the distance to and relative speed of that vehicle to prevent accidents such as rear-end collisions. The system is the first in the industry to use non-scanning millimeter-wave radar combined with a sturdy stereo image sensor, which keeps cost low. It can operate stably in adverse weather conditions such as rain, which could not easily be done with previous sensors. The system's vehicle detection performance was tested, and the system can correctly detect vehicles driving 3 to 50 m ahead in the same lane with higher than 99% accuracy in clear weather. Detection performance in rainy weather, where water drops and splashes notably degraded visibility, was higher than 90%.
URL: https://global.ieice.org/en_transactions/information/10.1093/ietisy/e89-d.7.2101/_p
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@ARTICLE{e89-d_7_2101,
author={Eigo SEGAWA, Morito SHIOHARA, Shigeru SASAKI, Norio HASHIGUCHI, Tomonobu TAKASHIMA, Masatoshi TOHNO, },
journal={IEICE TRANSACTIONS on Information},
title={Preceding Vehicle Detection Using Stereo Images and Non-scanning Millimeter-Wave Radar},
year={2006},
volume={E89-D},
number={7},
pages={2101-2108},
abstract={We developed a system that detects the vehicle driving immediately ahead of one's own car in the same lane and measures the distance to and relative speed of that vehicle to prevent accidents such as rear-end collisions. The system is the first in the industry to use non-scanning millimeter-wave radar combined with a sturdy stereo image sensor, which keeps cost low. It can operate stably in adverse weather conditions such as rain, which could not easily be done with previous sensors. The system's vehicle detection performance was tested, and the system can correctly detect vehicles driving 3 to 50 m ahead in the same lane with higher than 99% accuracy in clear weather. Detection performance in rainy weather, where water drops and splashes notably degraded visibility, was higher than 90%.},
keywords={},
doi={10.1093/ietisy/e89-d.7.2101},
ISSN={1745-1361},
month={July},}
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TY - JOUR
TI - Preceding Vehicle Detection Using Stereo Images and Non-scanning Millimeter-Wave Radar
T2 - IEICE TRANSACTIONS on Information
SP - 2101
EP - 2108
AU - Eigo SEGAWA
AU - Morito SHIOHARA
AU - Shigeru SASAKI
AU - Norio HASHIGUCHI
AU - Tomonobu TAKASHIMA
AU - Masatoshi TOHNO
PY - 2006
DO - 10.1093/ietisy/e89-d.7.2101
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E89-D
IS - 7
JA - IEICE TRANSACTIONS on Information
Y1 - July 2006
AB - We developed a system that detects the vehicle driving immediately ahead of one's own car in the same lane and measures the distance to and relative speed of that vehicle to prevent accidents such as rear-end collisions. The system is the first in the industry to use non-scanning millimeter-wave radar combined with a sturdy stereo image sensor, which keeps cost low. It can operate stably in adverse weather conditions such as rain, which could not easily be done with previous sensors. The system's vehicle detection performance was tested, and the system can correctly detect vehicles driving 3 to 50 m ahead in the same lane with higher than 99% accuracy in clear weather. Detection performance in rainy weather, where water drops and splashes notably degraded visibility, was higher than 90%.
ER -