Abstract
Wet area or puddle detection is one of the key issues for safe driving and future Advanced Driver Assistance Systems (ADAS). A new methodology for the detection of wet areas and puddles using a stereo camera is presented in this paper. Because wet areas and puddles have different characteristics, the two areas are separately treated and different detection algorithms are proposed. For the detection of wet areas, color information is used for hypothesis generation (HG) and a support vector machine (SVM) is employed for hypothesis verification (HV). In HV, three features are proposed for classification; these are the polarization difference, graininess and gradient magnitude. For the detection of puddles, the depth map obtained by a stereo camera is used to exploit the fact that abrupt depth changes are detected around the puddles. In the experiment, it is shown that the proposed methods have a robust performance for the detection of wet areas or puddles.
| Original language | English |
|---|---|
| Pages (from-to) | 263-271 |
| Number of pages | 9 |
| Journal | International Journal of Control, Automation and Systems |
| Volume | 14 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2016 Feb 1 |
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All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
- Computer Science Applications
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Wet area and puddle detection for Advanced Driver Assistance Systems (ADAS) using a stereo camera. / Kim, Jisu; Baek, Jeonghyun; Choi, Hyukdoo; Kim, Euntai.
In: International Journal of Control, Automation and Systems, Vol. 14, No. 1, 01.02.2016, p. 263-271.Research output: Contribution to journal › Article
TY - JOUR
T1 - Wet area and puddle detection for Advanced Driver Assistance Systems (ADAS) using a stereo camera
AU - Kim, Jisu
AU - Baek, Jeonghyun
AU - Choi, Hyukdoo
AU - Kim, Euntai
PY - 2016/2/1
Y1 - 2016/2/1
N2 - Wet area or puddle detection is one of the key issues for safe driving and future Advanced Driver Assistance Systems (ADAS). A new methodology for the detection of wet areas and puddles using a stereo camera is presented in this paper. Because wet areas and puddles have different characteristics, the two areas are separately treated and different detection algorithms are proposed. For the detection of wet areas, color information is used for hypothesis generation (HG) and a support vector machine (SVM) is employed for hypothesis verification (HV). In HV, three features are proposed for classification; these are the polarization difference, graininess and gradient magnitude. For the detection of puddles, the depth map obtained by a stereo camera is used to exploit the fact that abrupt depth changes are detected around the puddles. In the experiment, it is shown that the proposed methods have a robust performance for the detection of wet areas or puddles.
AB - Wet area or puddle detection is one of the key issues for safe driving and future Advanced Driver Assistance Systems (ADAS). A new methodology for the detection of wet areas and puddles using a stereo camera is presented in this paper. Because wet areas and puddles have different characteristics, the two areas are separately treated and different detection algorithms are proposed. For the detection of wet areas, color information is used for hypothesis generation (HG) and a support vector machine (SVM) is employed for hypothesis verification (HV). In HV, three features are proposed for classification; these are the polarization difference, graininess and gradient magnitude. For the detection of puddles, the depth map obtained by a stereo camera is used to exploit the fact that abrupt depth changes are detected around the puddles. In the experiment, it is shown that the proposed methods have a robust performance for the detection of wet areas or puddles.
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UR - http://www.scopus.com/inward/citedby.url?scp=84957976700&partnerID=8YFLogxK
U2 - 10.1007/s12555-015-0024-0
DO - 10.1007/s12555-015-0024-0
M3 - Article
AN - SCOPUS:84957976700
VL - 14
SP - 263
EP - 271
JO - International Journal of Control, Automation and Systems
JF - International Journal of Control, Automation and Systems
SN - 1598-6446
IS - 1
ER -