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Vectorized high-definition (HD) map is essential for autonomous driving, providing detailed and precise environmental information for advanced perception and planning.
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V-Net: Fully convolutional neural networks for volumetric medical image segmentation
Fausto Milletari, Nassir Navab, and Seyed-Ahmad Ahmadi · 2016
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Tsung-Yi Lin, Priya Goyal, Ross Girshick, Kaiming He, and Piotr Dollár · 2017
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ORB-SLAM2: An open-source SLAM system for monocular, stereo, and RGB-D cameras
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Attention is all you need
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Towards end-to-end lane detection: an instance segmentation approach
Davy Neven, Bert De Brabandere, Stamatios Georgoulis, Marc Proesmans, and Luc Van Gool · 2018
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Spatial as deep: Spatial CNN for traffic scene understanding
Xingang Pan, Jianping Shi, Ping Luo, Xiaogang Wang, and Xiaoou Tang · 2018
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LeGO-LOAM: Lightweight and ground-optimized lidar odometry and mapping on variable terrain
Tixiao Shan and Brendan Englot · 2018
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Learning to predict 3D objects with an interpolation-based differentiable renderer
Wenzheng Chen, Huan Ling, Jun Gao, Edward Smith, Jaakko Lehtinen, Alec Jacobson, and Sanja Fidler · 2019
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Line-CNN: End-to-end traffic line detection with line proposal unit
Xiang Li, Jun Li, Xiaolin Hu, and Jian Yang · 2019
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Shichen Liu, Tianye Li, Weikai Chen, and Hao Li · 2019
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End-to-end lane detection through differentiable least-squares fitting
Wouter Van Gansbeke, Bert De Brabandere, Davy Neven, Marc Proesmans, and Luc Van Gool · 2019
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CAD-Net: A context-aware detection network for objects in remote sensing imagery
Gongjie Zhang, Shijian Lu, and Wei Zhang · 2019
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nuScenes: A multimodal dataset for autonomous driving
Holger Caesar, Varun Bankiti, Alex H Lang, Sourabh Vora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Giancarlo Baldan, and Oscar Beijbom · 2020
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End-to-end object detection with Transformers
Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, and Sergey Zagoruyko · 2020
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Gen-LaneNet: A generalized and scalable approach for 3d lane detection
Yuliang Guo, Guang Chen, Peitao Zhao, Weide Zhang, Jinghao Miao, Jingao Wang, and Tae Eun Choe · 2020
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Deformable DETR: Deformable transformers for end-to-end object detection
Xizhou Zhu, Weijie Su, Lewei Lu, Bin Li, Xiaogang Wang, and Jifeng Dai · 2021
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SuperFusion: Multilevel LiDAR-Camera Fusion for Long-Range HD Map Generation
Hao Dong, Xianjing Zhang, Jintao Xu, Rui Ai, Weihao Gu, Huimin Lu, Juho Kannala, and Xieyuanli Chen · 2022
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Rethinking efficient lane detection via curve modeling
Zhengyang Feng, Shaohua Guo, Xin Tan, Ke Xu, Min Wang, and Lizhuang Ma · 2022
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Instance segmentation with mask-supervised polygonal boundary transformers
Justin Lazarow, Weijian Xu, and Zhuowen Tu · 2022
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DETR4D: Direct multi-view 3D object detection with sparse attention
Zhipeng Luo, Changqing Zhou, Gongjie Zhang, and Shijian Lu · 2022
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Tzu-Mao Li, Michal Lukáč, Michaël Gharbi, and Jonathan Ragan-Kelley · 2020
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Towards unsupervised learning of generative models for 3D controllable image synthesis
Yiyi Liao, Katja Schwarz, Lars Mescheder, and Andreas Geiger · 2020
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A general differentiable mesh renderer for image-based 3D reasoning
Shichen Liu, Tianye Li, Weikai Chen, and Hao Li · 2020
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Differentiable volumetric rendering: Learning implicit 3d representations without 3d supervision
Michael Niemeyer, Lars Mescheder, Michael Oechsle, and Andreas Geiger · 2020
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Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unprojecting to 3d
Jonah Philion and Sanja Fidler · 2020
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Ultra fast structure-aware deep lane detection
Zequn Qin, Huanyu Wang, and Xi Li · 2020
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Predicting semantic map representations from images using pyramid occupancy networks
Thomas Roddick and Roberto Cipolla · 2020
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A survey of smooth vector graphics: Recent advances in representation, creation, rasterization and image vectorization
Xingze Tian and Tobias Günther · 2022
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DETR3D: 3D object detection from multi-view images via 3D-to-2D queries
Yue Wang, Vitor Campagnolo Guizilini, Tianyuan Zhang, Yilun Wang, Hang Zhao, and Justin Solomon · 2022
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Chenyu Yang, Yuntao Chen, Hao Tian, Chenxin Tao, Xizhou Zhu, Zhaoxiang Zhang, Gao Huang, Hongyang Li, Yu Qiao, Lewei Lu, et al · 2022
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Meta-DETR: Image-level few-shot detection with inter-class correlation exploitation
Gongjie Zhang, Zhipeng Luo, Kaiwen Cui, Shijian Lu, and Eric P. Xing · 2022
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Cross-view transformers for real-time map-view semantic segmentation
Brady Zhou and Philipp Krähenbühl · 2022
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CurveFormer: 3D lane detection by curve propagation with curve queries and attention
Yifeng Bai, Zhirong Chen, Zhangjie Fu, Lang Peng, Pengpeng Liang, and Erkang Cheng · 2023
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Anchor3DLane: Learning to regress 3D anchors for monocular 3D lane detection
Shaofei Huang, Zhenwei Shen, Zehao Huang, Zi-han Ding, Jiao Dai, Jizhong Han, Naiyan Wang, and Si Liu · 2023
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MapTR: Structured modeling and learning for online vectorized HD map construction
Bencheng Liao, Shaoyu Chen, Xinggang Wang, Tianheng Cheng, Qian Zhang, Wenyu Liu, and Chang Huang · 2023
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TransPillars: Coarse-to-fine aggregation for multi-frame 3D object detection
Zhipeng Luo, Gongjie Zhang, Changqing Zhou, Tianrui Liu, Shijian Lu, and Liang Pan · 2023
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BEVSegFormer: Bird’s eye view semantic segmentation from arbitrary camera rigs
Lang Peng, Zhirong Chen, Zhangjie Fu, Pengpeng Liang, and Erkang Cheng · 2023
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BEV-LaneDet: a simple and effective 3d lane detection baseline
Ruihao Wang, Jianbang Qin, Kai Li, Yaochen Li, Dongping Cao, and Jintao Xu · 2023
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Neural map prior for autonomous driving
Xuan Xiong, Yicheng Liu, Tianyuan Yuan, Yue Wang, Yilun Wang, and Hang Zhao · 2023
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