TY - GEN
T1 - Distinction of road surface conditions at nighttime using brightness co-occurrence matrix
AU - Furukane, Tatsuya
AU - Shibata, Keiji
AU - Horita, Yuukou
PY - 2011
Y1 - 2011
N2 - In this paper, we propose a distinction method of road surface conditions by using only video information from a visible video camera. The feature of this method is simply to use the cars' headlights as the light source. In this method, using the probability function of brightness, we extract the road area that is having moderate quantities of light, touched by the headlights. Then, we differentiate two road surface conditions such as dry and wet, by using the amount of characteristic of the brightness co-occurrence matrix. As a result, by using this method, it became possible to distinguish the road surface conditions with high accuracy.
AB - In this paper, we propose a distinction method of road surface conditions by using only video information from a visible video camera. The feature of this method is simply to use the cars' headlights as the light source. In this method, using the probability function of brightness, we extract the road area that is having moderate quantities of light, touched by the headlights. Then, we differentiate two road surface conditions such as dry and wet, by using the amount of characteristic of the brightness co-occurrence matrix. As a result, by using this method, it became possible to distinguish the road surface conditions with high accuracy.
UR - http://www.scopus.com/inward/record.url?scp=79952947985&partnerID=8YFLogxK
U2 - 10.1109/ICCE.2011.5722492
DO - 10.1109/ICCE.2011.5722492
M3 - 会議への寄与
AN - SCOPUS:79952947985
SN - 9781424487127
T3 - Digest of Technical Papers - IEEE International Conference on Consumer Electronics
SP - 117
EP - 118
BT - 2011 IEEE International Conference on Consumer Electronics, ICCE 2011
T2 - 2011 IEEE International Conference on Consumer Electronics, ICCE 2011
Y2 - 9 January 2011 through 12 January 2011
ER -