[23] Ranjay Krishna, Yuke Zhu, Oliver Groth, Justin Johnson, Kenji Hata, Joshua Kravitz, Stephanie Chen, Yannis Kalantidis, Li-Jia Li, David A Shamma, et al. Visual genome: Connecting language and vision using crowdsourced dense image annotations. IJCV, 2017.
[24] Alina Kuznetsova, Hassan Rom, Neil Alldrin, Jasper Uijlings, Ivan Krasin, Jordi Pont-Tuset, Shahab Kamali, Stefan Popov, Matteo Malloci, Alexander Kolesnikov, et al. The open images dataset v4: Unified image classification, object detection, and visual relationship detection at scale. IJCV, 2020.
[25] 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. Vpgnet: Vanishing point guided network for lane and road marking detection and recognition. In ICCV, 2017.
[26] Tianyu Li, Li Chen, Huijie Wang, Yang Li, Jiazhi Yang, Xiangwei Geng, Shengyin Jiang, Yuting Wang, Hang Xu, Chunjing Xu, Junchi Yan, Ping Luo, and Hongyang Li. Graph-based topology reasoning for driving scenes. arXiv preprint arXiv:2304.05277, 2023.
[27] Benchcheng Liao, Shaoyu Chen, Xinggang Wang, Tianheng Cheng, Qian Zhang, Wenyu Liu, and Chang Huang. MapTR: Structured modeling and learning for online vectorized HD map construction. In ICLR, 2023.
[28] Yicheng Liu, Yue Wang, Yilun Wang, and Hang Zhao. Vectormapnet: End-to-end vectorized hd map learning. arXiv preprint arXiv:2206.08920, 2022.
[29] Cewu Lu, Ranjay Krishna, Michael Bernstein, and Li Fei-Fei. Visual relationship detection with language priors. In ECCV, 2016.
[30] Andreas Mogelmose, Mohan Manubhai Trivedi, and Thomas B Moeslund. Vision-based traffic sign detection and analysis for intelligent driver assistance systems: Perspectives and survey. IEEE TITS, 2012.
[31] Xingang Pan, Jianping Shi, Ping Luo, Xiaogang Wang, and Xiaou Tang. Spatial as deep: Spatial cnn for traffic scene understanding. In AAAI, 2018.
[32] Vasilii Ramanishka, Yi-Ting Chen, Teruhisa Mitsu, and Kate Saenko. Toward driving scene understanding: A dataset for learning driver behavior and causal reasoning. In CVPR, 2018.
[33] Amir Rasouli, Iuliia Kotseruba, and John K Tsotsos. Are they going to cross? a benchmark dataset and baseline for pedestrian crosswalk behavior. In ICCV Workshop, 2017.
[34] Vladislav Igorevich Shakhuro and AS Konouchine. Russian traffic sign images dataset. Computer optics, 2016.
[35] Chonghao Sima, Wenwen Tong, Tai Wang, Li Chen, Silei Wu, Hanming Deng, Yi Gu, Lewei Lu, Ping Luo, Dahua Lin, and Hongyang Li. Scene as occupancy. In ICCV, 2023.
[36] Gurkirt Singh, Stephen Akrigg, Manuele Di Maio, Valentina Fontana, Reza Javanmard Alitappeh, Salman Khan, Suman Saha, Kossar Jeddisaravi, Farzad Yousefi, Jacob Culley, et al. Road: The road event awareness dataset for autonomous driving. IEEE TPAMI, 2022.
[37] Johannes Stallkamp, Marc Schlipsing, Jan Salmen, and Christian Igel. Man vs. computer: Benchmarking machine learning algorithms for traffic sign recognition. Neural networks, 2012.
[38] Yafu Tian, Alexander Carballo, Ruifeng Li, and Kazuya Takeda. Road scene graph: A semantic graph-based scene representation dataset for intelligent vehicles. arXiv preprint arXiv:2011.13588, 2020.
[39] Radu Timofte, Karel Zimmermann, and Luc Van Gool. Multi-view traffic sign detection, recognition, and 3d localisation. Machine vision and applications, 2014.
[40] TuSimple. https://github.com/TuSimple/tusimple-benchmark, 2017.