IEICE TRANSACTIONS on Information
Parallel-Snake with Balloon Force for Lane Detection
Summary :
Lane detection plays an important role in Driver Assistance Systems and Autonomous Vehicle System. In this paper, we propose a parallel-snake model combined with balloon force for lane detection. Parallel-snake is defined as two open active contours with parallel constrain. The lane boundaries on the left and right sides are assumed as parallel curves, parallel-snake is deformed to estimate these two boundaries. As lane regions between left and right boundaries usually have low gradient, snake will lose external force on these regions. Furthermore, inspired by balloon active contour model, the balloon force is introduced into parallel-snake to expand two parallel curves from center of road to the left and right lane boundaries. Different from closed active contour, stretching force is adopted to prevent the head and tail of snake from converging together. The experimental results on three different datasets show that parallel-snake model can work well on images with shadows and handle the lane with broken boundaries as the parallel property.
- Publication
- IEICE TRANSACTIONS on Information Vol.E97-D No.2 pp.349-352
- Publication Date
- 2014/02/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.E97.D.349
- Type of Manuscript
- LETTER
- Category
- Artificial Intelligence, Data Mining
Authors
Xiangyang LI
Shanghai Jiao Tong University
Xiangzhong FANG
Shanghai Jiao Tong University
Keyword
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Xiangyang LI, Xiangzhong FANG, "Parallel-Snake with Balloon Force for Lane Detection" in IEICE TRANSACTIONS on Information,
vol. E97-D, no. 2, pp. 349-352, February 2014, doi: 10.1587/transinf.E97.D.349.
Abstract: Lane detection plays an important role in Driver Assistance Systems and Autonomous Vehicle System. In this paper, we propose a parallel-snake model combined with balloon force for lane detection. Parallel-snake is defined as two open active contours with parallel constrain. The lane boundaries on the left and right sides are assumed as parallel curves, parallel-snake is deformed to estimate these two boundaries. As lane regions between left and right boundaries usually have low gradient, snake will lose external force on these regions. Furthermore, inspired by balloon active contour model, the balloon force is introduced into parallel-snake to expand two parallel curves from center of road to the left and right lane boundaries. Different from closed active contour, stretching force is adopted to prevent the head and tail of snake from converging together. The experimental results on three different datasets show that parallel-snake model can work well on images with shadows and handle the lane with broken boundaries as the parallel property.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E97.D.349/_p
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@ARTICLE{e97-d_2_349,
author={Xiangyang LI, Xiangzhong FANG, },
journal={IEICE TRANSACTIONS on Information},
title={Parallel-Snake with Balloon Force for Lane Detection},
year={2014},
volume={E97-D},
number={2},
pages={349-352},
abstract={Lane detection plays an important role in Driver Assistance Systems and Autonomous Vehicle System. In this paper, we propose a parallel-snake model combined with balloon force for lane detection. Parallel-snake is defined as two open active contours with parallel constrain. The lane boundaries on the left and right sides are assumed as parallel curves, parallel-snake is deformed to estimate these two boundaries. As lane regions between left and right boundaries usually have low gradient, snake will lose external force on these regions. Furthermore, inspired by balloon active contour model, the balloon force is introduced into parallel-snake to expand two parallel curves from center of road to the left and right lane boundaries. Different from closed active contour, stretching force is adopted to prevent the head and tail of snake from converging together. The experimental results on three different datasets show that parallel-snake model can work well on images with shadows and handle the lane with broken boundaries as the parallel property.},
keywords={},
doi={10.1587/transinf.E97.D.349},
ISSN={1745-1361},
month={February},}
Copy
TY - JOUR
TI - Parallel-Snake with Balloon Force for Lane Detection
T2 - IEICE TRANSACTIONS on Information
SP - 349
EP - 352
AU - Xiangyang LI
AU - Xiangzhong FANG
PY - 2014
DO - 10.1587/transinf.E97.D.349
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E97-D
IS - 2
JA - IEICE TRANSACTIONS on Information
Y1 - February 2014
AB - Lane detection plays an important role in Driver Assistance Systems and Autonomous Vehicle System. In this paper, we propose a parallel-snake model combined with balloon force for lane detection. Parallel-snake is defined as two open active contours with parallel constrain. The lane boundaries on the left and right sides are assumed as parallel curves, parallel-snake is deformed to estimate these two boundaries. As lane regions between left and right boundaries usually have low gradient, snake will lose external force on these regions. Furthermore, inspired by balloon active contour model, the balloon force is introduced into parallel-snake to expand two parallel curves from center of road to the left and right lane boundaries. Different from closed active contour, stretching force is adopted to prevent the head and tail of snake from converging together. The experimental results on three different datasets show that parallel-snake model can work well on images with shadows and handle the lane with broken boundaries as the parallel property.
ER -
English
