Pix2Map: Cross-Modal Retrieval for Inferring Street Maps from Images
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[1] L. Leal-Taixé,et al. Is Geometry Enough for Matching in Visual Localization? , 2022, ECCV.
[2] L. Gool,et al. Topology Preserving Local Road Network Estimation from Single Onboard Camera Image , 2021, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[3] R. Bowden,et al. Translating Images into Maps , 2021, 2022 International Conference on Robotics and Automation (ICRA).
[4] Fabien Moutarde,et al. GOHOME: Graph-Oriented Heatmap Output for future Motion Estimation , 2021, 2022 International Conference on Robotics and Automation (ICRA).
[5] Xinggang Wang,et al. YOLOP: You Only Look Once for Panoptic Driving Perception , 2021, Machine Intelligence Research.
[6] Yilun Wang,et al. HDMapNet: An Online HD Map Construction and Evaluation Framework , 2021, 2022 International Conference on Robotics and Automation (ICRA).
[7] Stewart Worrall,et al. Long-Term Map Maintenance Pipeline for Autonomous Vehicles , 2020, IEEE Transactions on Intelligent Transportation Systems.
[8] Moongu Jeon,et al. Key Points Estimation and Point Instance Segmentation Approach for Lane Detection , 2020, ArXiv.
[9] James Hays,et al. Trust, but Verify: Cross-Modality Fusion for HD Map Change Detection , 2022, NeurIPS Datasets and Benchmarks.
[10] Luc Van Gool,et al. Structured Bird’s-Eye-View Traffic Scene Understanding from Onboard Images , 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
[11] Eric M. Wolff,et al. Multimodal Trajectory Prediction Conditioned on Lane-Graph Traversals , 2021, CoRL.
[12] Cordelia Schmid,et al. HDMapGen: A Hierarchical Graph Generative Model of High Definition Maps , 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[13] Shengfeng He,et al. Projecting Your View Attentively: Monocular Road Scene Layout Estimation via Cross-view Transformation , 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[14] Siyu Zhu,et al. CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution , 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
[15] R. Cipolla,et al. FIERY: Future Instance Prediction in Bird’s-Eye View from Surround Monocular Cameras , 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
[16] Ilya Sutskever,et al. Learning Transferable Visual Models From Natural Language Supervision , 2021, ICML.
[17] Dhruv Batra,et al. Semantic MapNet: Building Allocentric SemanticMaps and Representations from Egocentric Views , 2020, AAAI.
[18] Gunther Krehl,et al. Sensor Fusion-based Online Map Validation for Autonomous Driving , 2020, 2020 IEEE Intelligent Vehicles Symposium (IV).
[19] Kichun Jo,et al. Semantic Point Cloud Mapping of LiDAR Based on Probabilistic Uncertainty Modeling for Autonomous Driving , 2020, Sensors.
[20] Roberto Cipolla,et al. Predicting Semantic Map Representations From Images Using Pyramid Occupancy Networks , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[21] Dragomir Anguelov,et al. Scalability in Perception for Autonomous Driving: Waymo Open Dataset , 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[22] Qiang Xu,et al. nuScenes: A Multimodal Dataset for Autonomous Driving , 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[23] Bingqi Zhang,et al. High Definition Map for Automated Driving: Overview and Analysis , 2020, Journal of Navigation.
[24] Raquel Urtasun,et al. DAGMapper: Learning to Map by Discovering Lane Topology , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[25] Sanja Fidler,et al. Neural Turtle Graphics for Modeling City Road Layouts , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[26] Karsten Behrendt,et al. Unsupervised Labeled Lane Markers Using Maps , 2019, 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW).
[27] Mingyuan Zhou,et al. Variational Graph Recurrent Neural Networks , 2019, NeurIPS.
[28] Raquel Urtasun,et al. Exploiting Sparse Semantic HD Maps for Self-Driving Vehicle Localization , 2019, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[29] Sven Behnke,et al. Semi-supervised Semantic Mapping Through Label Propagation with Semantic Texture Meshes , 2019, International Journal of Computer Vision.
[30] Dominik Jain,et al. Crowdsourced HD Map Patches Based on Road Model Inference and Graph-Based SLAM , 2019, 2019 IEEE Intelligent Vehicles Symposium (IV).
[31] Simon Lucey,et al. Argoverse: 3D Tracking and Forecasting With Rich Maps , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[32] Wei Li,et al. DET: A High-Resolution DVS Dataset for Lane Extraction , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[33] Raquel Urtasun,et al. Convolutional Recurrent Network for Road Boundary Extraction , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[34] Wolfram Burgard,et al. HD Map Change Detection with a Boosted Particle Filter , 2019, 2019 International Conference on Robotics and Automation (ICRA).
[35] Roland Siegwart,et al. Volumetric Instance-Aware Semantic Mapping and 3D Object Discovery , 2019, IEEE Robotics and Automation Letters.
[36] Jan Dirk Wegner,et al. Topological Map Extraction From Overhead Images , 2018, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[37] Ming-Wei Chang,et al. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding , 2019, NAACL.
[38] Raquel Urtasun,et al. Learning to Localize Using a LiDAR Intensity Map , 2018, CoRL.
[39] Oriol Vinyals,et al. Representation Learning with Contrastive Predictive Coding , 2018, ArXiv.
[40] Cyrill Stachniss,et al. Efficient Surfel-Based SLAM using 3D Laser Range Data in Urban Environments , 2018, Robotics: Science and Systems.
[41] Raquel Urtasun,et al. Hierarchical Recurrent Attention Networks for Structured Online Maps , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[42] Jure Leskovec,et al. GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models , 2018, ICML.
[43] Xiaogang Wang,et al. Spatial As Deep: Spatial CNN for Traffic Scene Understanding , 2017, AAAI.
[44] Sanja Fidler,et al. Annotating Object Instances with a Polygon-RNN , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[45] Min Bai,et al. TorontoCity: Seeing the World with a Million Eyes , 2016, 2017 IEEE International Conference on Computer Vision (ICCV).
[46] Jörg Stückler,et al. Scene flow propagation for semantic mapping and object discovery in dynamic street scenes , 2016, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[47] Xiaolong Hu,et al. Autonomous Driving in the iCity—HD Maps as a Key Challenge of the Automotive Industry , 2016 .
[48] Andreas Geiger,et al. Map-Based Probabilistic Visual Self-Localization , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[49] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[50] Jörg Stückler,et al. Large-scale direct SLAM with stereo cameras , 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[51] Patrick Pérez,et al. Incremental dense semantic stereo fusion for large-scale semantic scene reconstruction , 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).
[52] J. M. M. Montiel,et al. ORB-SLAM: A Versatile and Accurate Monocular SLAM System , 2015, IEEE Transactions on Robotics.
[53] Daniel Cremers,et al. LSD-SLAM: Large-Scale Direct Monocular SLAM , 2014, ECCV.
[54] Peter Wonka,et al. What Makes London Work Like London? , 2014, Comput. Graph. Forum.
[55] Ali Shahrokni,et al. Mesh Based Semantic Modelling for Indoor and Outdoor Scenes , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[56] Andreas Geiger,et al. Are we ready for autonomous driving? The KITTI vision benchmark suite , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[57] Torsten Sattler,et al. Fast image-based localization using direct 2D-to-3D matching , 2011, 2011 International Conference on Computer Vision.
[58] Wolfram Burgard,et al. Probabilistic Robotics (Intelligent Robotics and Autonomous Agents) , 2005 .
[59] Gerhard Lakemeyer,et al. Exploring artificial intelligence in the new millennium , 2003 .
[60] Sebastian Thrun,et al. Robotic mapping: a survey , 2003 .
[61] Richard M. Karp,et al. An optimal algorithm for on-line bipartite matching , 1990, STOC '90.
[62] Robert C. Bolles,et al. Parametric Correspondence and Chamfer Matching: Two New Techniques for Image Matching , 1977, IJCAI.
[63] William M. Rand,et al. Objective Criteria for the Evaluation of Clustering Methods , 1971 .