Lane line detection method for embedded platform

Zhongqiang Du; Linbo Tang; Yuqi Han

doi:10.3788/IRLA20210753

Infrared and Laser Engineering, Volume. 51, Issue 7, 20210753(2022)

Lane line detection method for embedded platform

Zhongqiang Du¹, Linbo Tang¹, and Yuqi Han^2、*

¹Beijing Key Laboratory of Embedded Real-time Information Processing Technology, School of Information and Electronic, Beijing Institute of Technology, Beijing 100081, China

²Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China

show less

Abstract Get PDF(in Chinese)

References(12)

[1] [1] Ronneberger O, Fischer P Brox T. U: convolutional wks f biomedical image segmentation[C] International Conference on Medical Image Computing Computerassisted Intervention, 2015: 234–241.

[2] Badrinarayanan V, Kendall A, Cipolla R. SegNet: A deep convolutional encoder-decoder architecture for image segmentation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39, 2481-2495(2017).

[3] He Xuguang, Jiang Lei, Luo Yiping, . Lane line detection algorithm design based on Hough transform[J]. Agricultural Equipment and Vehicle Engineering, 57, 90-91, 107(2019).

[4] Li Houlong, Ma Liming, Zhong Linwei. Lane line detection based on improved hough transform[J]. Practical Automobile Technology, 46, 16-18(2021).

[5] Hu Shengyuan, You Bo, Cui Lidong. Lane detection and departure warning simulation based on improved Hough transform[J]. New Industrialization, 11, 122-125(2021).

[6] Zhou Hongyu, Song Xu, Liu Guoying. Lane detection algorithm based on Haar feature coupling cascade classifier[J]. Computer Engineering and Design, 41, 1719-1724(2020).

[7] Deng Tianmin, Wang Lin, Yang Qizhi, . Lane line detection method based on improved SegNet algorithm[J]. Science Technology and Engineering, 20, 14988-14993(2020).

[8] [8] Haixia L,Xizhou L. Flexible lane detection using CNNs[C]2021 International Conference on Computer Technology Media Convergence Design (CTMCD), 2021: 235238.

[9] Zou Q, Jiang H, Dai Q, et al. Robust lane detection from continuous driving scenes using deep neural networks[J]. IEEE Transactions on Vehicular Technology, 69, 41-54(2020).

[10] [10] Gansbeke W V, Brabere B D, Neven D M, et al. Endtoend lane detection through differentiable leastsquares fitting[C]2019 IEEECVF International Conference on Computer Vision Wkshop (ICCVW), 2019: 905913.

[11] Adam Paszke, Abhishek Chaurasia, Sangpil Kim, et al. ENet: A deep neural network architecture for real-time semantic segmentation[J]. Computer Science, arXiv, 1606.02147(2016).

[12] [12] Neven D, Brabere D B, Gegoulis S, et al. Towards endtoend lane detection: An instance segmentation approach[C] 2018 IEEE Intelligent Vehicles Symposium (IV), 2018: 286291.