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Detecting lane lines from sensors is becoming an increasingly significant part of autonomous driving systems.
“Focal loss for dense object detection,”
Tsung-Yi Lin, Priya Goyal, Ross Girshick, Kaiming He, and Piotr Dollár, · 2017
Earlier work this paper cites.
“Autonomous vehicle: The architecture aspect of self driving car,”
Farzeen Munir, Shoaib Azam, et al., · 2018
Earlier work this paper cites.
“Roadtracer: Automatic extraction of road networks from aerial images,”
Favyen Bastani, Songtao He, et al., · 2018
Earlier work this paper cites.
“Cornernet: Detecting objects as paired keypoints,”
Hei Law and Jia Deng, · 2018
Earlier work this paper cites.
“Dagmapper: Learning to map by discovering lane topology,”
Namdar Homayounfar, Wei-Chiu Ma, et al., · 2019
Earlier work this paper cites.
“Vecroad: Point-based iterative graph exploration for road graphs extraction,”
Yong-Qiang Tan, Shang-Hua Gao, et al., · 2020
Earlier work this paper cites.
“Deep high-resolution representation learning for visual recognition,”
Jingdong Wang, Ke Sun, Cheng, et al., · 2020
Earlier work this paper cites.
“icurb: Imitation learning-based detection of road curbs using aerial images for autonomous driving,”
Zhenhua Xu, Yuxiang Sun, and Ming Liu, · 2021
Earlier work this paper cites.
“Maptr: Structured modeling and learning for online vectorized hd map construction,”
Bencheng Liao, Shaoyu Chen, Wang, et al., · 2022
Cited alongside, same era.
“Hdmapnet: An online hd map construction and evaluation framework,”
Qi Li, Yue Wang, Yilun Wang, and Hang Zhao, · 2022
Cited alongside, same era.
“Rngdet: Road network graph detection by transformer in aerial images,”
Zhenhua Xu, Yuxuan Liu, et al., · 2022
Cited alongside, same era.
“Eigenlanes: Data-driven lane descriptors for structurally diverse lanes,”
Dongkwon Jin, Wonhui Park, et al., · 2022
Cited alongside, same era.
“Once-3dlanes: Building monocular 3d lane detection,”
Fan Yan, Ming Nie, et al., · 2022
Cited alongside, same era.
“Persformer: 3d lane detection via perspective transformer and the openlane benchmark,”
Dapeng Li, Feiyang Pan, Jia He, Zhiwei Xu, Dandan Tu, and Guoliang Fan, · 2023
Closest in time.
“Dap: Domain-aware prompt learning for vision-and-language navigation,”
Ting Liu, Yue Hu, Wansen Wu, Youkai Wang, Kai Xu, and Quanjun Yin, · 2023
Closest in time.
Jiawei Yao and Jusheng Zhang, · 2023
Closest in time.
“Ndc-scene: Boost monocular 3d semantic scene completion in normalized device coordinates space,”
Jiawei Yao, Chuming Li, Keqiang Sun, Yingjie Cai, Hao Li, Wanli Ouyang, and Hongsheng Li, · 2023
Closest in time.
“Geometry-guided ray augmentation for neural surface reconstruction with sparse views,”
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Li Chen, Chonghao Sima, et al., · 2022
Cited alongside, same era.
“From explicit communication to tacit cooperation: A novel paradigm for cooperative marl,”
Dapeng Li, Zhiwei Xu, Bin Zhang, and Guoliang Fan, · 2023
Cited alongside, same era.
“Prompt-based context-and domain-aware pretraining for vision and language navigation,”
Ting Liu, Wansen Wu, Yue Hu, Youkai Wang, Kai Xu, and Quanjun Yin, · 2023
Cited alongside, same era.
“Google maps,” https://developers.google.com/maps
Cited in the paper.
“Qgis,” https://www.qgis.org/en/site/
Cited in the paper.
Jiawei Yao, Chen Wang, Tong Wu, and Chuming Li, · 2023
Closest in time.
“Dynamicbev: Leveraging dynamic queries and temporal context for 3d object detection,”
Jiawei Yao and Yingxin Lai, · 2023
Closest in time.
Jiawei Yao, Tong Wu, and Xiaofeng Zhang, · 2023
Closest in time.
“Vad: Vectorized scene representation for efficient autonomous driving,”
Bo Jiang, Shaoyu Chen, Xu, et al., · 2023
Closest in time.