Vehicle pressure line detection based on improved Mask R-CNN + LaneNet

doi:10.37188/OPE.20223007.0854

CIOMP OpenIR

	Vehicle pressure line detection based on improved Mask R-CNN + LaneNet
	J. Sun; Y. Zhang and X. Chang
	2022
发表期刊	Guangxue Jingmi Gongcheng/Optics and Precision Engineering
ISSN	1004924X
卷号	30 期号:7 页码:854-868
摘要	To address the problem of vehicle pressure line detection of on-board images in the field of assisted or automatic driving, as well as the problem of missed and false detection caused by underexposure, shadow, or solid occlusion in the detection process, a vehicle pressure line detection algorithm based on improved Mask R-CNN and LaneNet was proposed. In terms of network optimization, based on the Mask R-CNN network, the image scaling algorithm (bilinear interpolation) of the ROI alignment layer was improved to bicubic interpolation, and the convoluted VGG16 network of a full connection layer was replaced by LaneNet's E-Net shared decoder. For image enhancement, the Gamma correction algorithm was improved to realize the automatic correction of underexposed images. In terms of training data, the vehicle target in the Tusimple data set was marked, and the data were enhanced in the network training process, based on the improved random erasing algorithm. The experimental results show that while the vehicle detection speed remains unchanged, the lane line detection speed is increased by 28%, and the vehicle missed and false detection rate are reduced by 38.93% and 89.04%, respectively. Further, the lane line missed and false detection rate are reduced by 67.21% and 87.05%, respectively. The achieved performance index can meet the requirements of vehicle line pressing judgement method. 2022, Science Press. All right reserved.
DOI	10.37188/OPE.20223007.0854
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收录类别	ei
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文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/67278
专题	中国科学院长春光学精密机械与物理研究所
推荐引用方式 GB/T 7714	J. Sun,Y. Zhang and X. Chang. Vehicle pressure line detection based on improved Mask R-CNN + LaneNet[J]. Guangxue Jingmi Gongcheng/Optics and Precision Engineering,2022,30(7):854-868.
APA	J. Sun,&Y. Zhang and X. Chang.(2022).Vehicle pressure line detection based on improved Mask R-CNN + LaneNet.Guangxue Jingmi Gongcheng/Optics and Precision Engineering,30(7),854-868.
MLA	J. Sun,et al."Vehicle pressure line detection based on improved Mask R-CNN + LaneNet".Guangxue Jingmi Gongcheng/Optics and Precision Engineering 30.7(2022):854-868.

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