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The image-based lane detection algorithm is one of the key technologies in autonomous vehicles.
Lane detection using spline model
Yue Wang, Dinggang Shen, and Eam Khwang Teoh · 2000
Earlier work this paper cites.
Lane detection and tracking using b-snake, image and vision computer
Wang Y Teoh EK and D Sben · 2004
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Hsi color model based lane-marking detection
Tsung-Ying Sun, Shang-Jeng Tsai, and Vincent Chan · 2006
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Robust lane detection and tracking in challenging scenarios
ZuWhan Kim · 2008
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Large-scale machine learning with stochastic gradient descent
Léon Bottou · 2010
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
Earlier work this paper cites.
Vpgnet: Vanishing point guided network for lane and road marking detection and recognition
Seokju Lee, Junsik Kim, Jae Shin Yoon, Seunghak Shin, Oleksandr Bailo, Namil Kim, Tae-Hee Lee, Hyun Seok Hong, Seung-Hoon Han, and In So Kweon · 2017
Earlier work this paper cites.
Spatial as deep: Spatial cnn for traffic scene understanding
Xingang Pan, Jianping Shi, Ping Luo, Xiaogang Wang, and Xiaoou Tang · 2017
Earlier work this paper cites.
Erfnet: Efficient residual factorized convnet for real-time semantic segmentation
Eduardo Romera, José M Alvarez, Luis M Bergasa, and Roberto Arroyo · 2017
Earlier work this paper cites.
Efficient road lane marking detection with deep learning
Ping-Rong Chen, Shao-Yuan Lo, Hsueh-Ming Hang, Sheng-Wei Chan, and Jing-Jhih Lin · 2018
Earlier work this paper cites.
Reliable multilane detection and classification by utilizing cnn as a regression network
Shriyash Chougule, Nora Koznek, Asad Ismail, Ganesh Adam, Vikram Narayan, and Matthias Schulze · 2018
Cited alongside, same era.
El-gan: Embedding loss driven generative adversarial networks for lane detection
Mohsen Ghafoorian, Cedric Nugteren, Nóra Baka, Olaf Booij, and Michael Hofmann · 2018
Cited alongside, same era.
Towards end-to-end lane detection: an instance segmentation approach
Davy Neven, Bert De Brabandere, Stamatios Georgoulis, Marc Proesmans, and Luc Van Gool · 2018
Cited alongside, same era.
Bam: Bottleneck attention module
Jongchan Park, Sanghyun Woo, Joon-Young Lee, and In So Kweon · 2018
Cited alongside, same era.
http://benchmark.tusimple.ai/#/t/1
TuSimple · 2018
Cited alongside, same era.
Non-local neural networks
Learning lightweight lane detection cnns by self attention distillation
Yuenan Hou, Zheng Ma, Chunxiao Liu, and Chen Change Loy · 2019
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Ccnet: Criss-cross attention for semantic segmentation
Zilong Huang, Xinggang Wang, Lichao Huang, Chang Huang, Yunchao Wei, and Wenyu Liu · 2019
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Multi-class lane semantic segmentation using efficient convolutional networks
Shao-Yuan Lo, Hsueh-Ming Hang, Sheng-Wei Chan, and Jing-Jhih Lin · 2019
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Self-attention generative adversarial networks
Han Zhang, Ian Goodfellow, Dimitris Metaxas, and Augustus Odena · 2019
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Asymmetric non-local neural networks for semantic segmentation
Zhen Zhu, Mengde Xu, Song Bai, Tengteng Huang, and Xiang Bai · 2019
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Inter-region affinity distillation for road marking segmentation
Yuenan Hou, Zheng Ma, Chunxiao Liu, Tak-Wai Hui, and Chen Change Loy · 2020
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Xiaolong Wang, Ross Girshick, Abhinav Gupta, and Kaiming He · 2018
Cited alongside, same era.
Cbam: Convolutional block attention module
Sanghyun Woo, Jongchan Park, Joon-Young Lee, and In So Kweon · 2018
Cited alongside, same era.
Bdd100k: A diverse driving video database with scalable annotation tooling
Fisher Yu, Wenqi Xian, Yingying Chen, Fangchen Liu, Mike Liao, Vashisht Madhavan, and Trevor Darrell · 2018
Cited alongside, same era.
Multi-lane detection using instance segmentation and attentive voting
Donghoon Chang, Vinjohn Chirakkal, Shubham Goswami, Munawar Hasan, Taekwon Jung, Jinkeon Kang, Seok-Cheol Kee, Dongkyu Lee, and Ajit Pratap Singh · 2019
Cited alongside, same era.
Dual attention network for scene segmentation
Jun Fu, Jing Liu, Haijie Tian, Yong Li, Yongjun Bao, Zhiwei Fang, and Hanqing Lu · 2019
Cited alongside, same era.
Later among the works it cites.
Towards lightweight lane detection by optimizing spatial embedding
Seokwoo Jung, Sungha Choi, Mohammad Azam Khan, and Jaegul Choo · 2020
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Tong Liu, Zhaowei Chen, Yi Yang, Zehao Wu, and Haowei Li · 2020
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Ultra fast structure-aware deep lane detection
Zequn Qin, Huanyu Wang, and Xi Li · 2020
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End-to-end lane marker detection via row-wise classification
Seungwoo Yoo, Hee Seok Lee, Heesoo Myeong, Sungrack Yun, Hyoungwoo Park, Janghoon Cho, and Duck Hoon Kim · 2020
Later among the works it cites.