TY - JOUR
T1 - Road Edge Recognition Using the Stripe Hough Transform From Millimeter-Wave Radar Images
AU - Guo, Kun Yi
AU - Hoare, Edward G.
AU - Jasteh, Donya
AU - Sheng, Xin Qing
AU - Gashinova, Marina
N1 - Publisher Copyright:
© 2000-2011 IEEE.
PY - 2015/4/1
Y1 - 2015/4/1
N2 - Millimeter-wave (MMW) radar, which is used for road feature recognition, has performance that is superior to optical cameras in terms of robustness in different weather and lighting conditions, as well as providing ranging capabilities. However, the signatures of road features in MMW radar images are quite different from that of optical images, and even physically continuous features, such as road edges, will be presented as a set of bright points or spots distributed along the roadside. Therefore, discrimination of the radar features is of paramount importance in automotive imaging systems. To tackle this problem, an approach called the stripe Hough transform (HT) is introduced in this paper, allowing enhanced extraction of the geometry of the road path. The performance of the approach is demonstrated by comparison of extracted features from MMW images with the real geometry of the road and with the results of processing by classical HT.
AB - Millimeter-wave (MMW) radar, which is used for road feature recognition, has performance that is superior to optical cameras in terms of robustness in different weather and lighting conditions, as well as providing ranging capabilities. However, the signatures of road features in MMW radar images are quite different from that of optical images, and even physically continuous features, such as road edges, will be presented as a set of bright points or spots distributed along the roadside. Therefore, discrimination of the radar features is of paramount importance in automotive imaging systems. To tackle this problem, an approach called the stripe Hough transform (HT) is introduced in this paper, allowing enhanced extraction of the geometry of the road path. The performance of the approach is demonstrated by comparison of extracted features from MMW images with the real geometry of the road and with the results of processing by classical HT.
KW - Adaptive cruise control (ACC)
KW - Hough transform (HT)
KW - millimeter-wave (MMW) radars
KW - road features
UR - http://www.scopus.com/inward/record.url?scp=84926435059&partnerID=8YFLogxK
U2 - 10.1109/TITS.2014.2342875
DO - 10.1109/TITS.2014.2342875
M3 - Article
AN - SCOPUS:84926435059
SN - 1524-9050
VL - 16
SP - 825
EP - 833
JO - IEEE Transactions on Intelligent Transportation Systems
JF - IEEE Transactions on Intelligent Transportation Systems
IS - 2
M1 - 6882781
ER -