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Accurate and reliable ego-localization is critical for autonomous driving.
Surfels: Surface elements as rendering primitives
Hanspeter Pfister, Matthias Zwicker, Jeroen Van Baar, and Markus Gross · 2000
Earlier work this paper cites.
Map-based precision vehicle localization in urban environments
Jesse Levinson, Michael Montemerlo, and Sebastian Thrun · 2007
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Autonomous driving in a multi-level parking structure
Rainer Kummerle, Dirk Hahnel, Dmitri Dolgov, Sebastian Thrun, and Wolfram Burgard · 2009
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Robust vehicle localization in urban environments using probabilistic maps
Jesse Levinson and Sebastian Thrun · 2010
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Light-weight localization for vehicles using road markings
Ananth Ranganathan, David Ilstrup, and Tao Wu · 2013
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LaneLoc: Lane marking based localization using highly accurate maps
Markus Schreiber, Carsten Knöppel, and Uwe Franke · 2013
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Vehicle localization using road markings
Tao Wu and Ananth Ranganathan · 2013
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Real-time global localization of intelligent road vehicles in lane-level via lane marking detection and shape registration
Dixiao Cui, Jianru Xue, Shaoyi Du, and Nanning Zheng · 2014
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Monocular visual localization using road structural features
Yufeng Yu, Huijing Zhao, Franck Davoine, Jinshi Cui, and Hongbin Zha · 2014
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Precise localization of an autonomous car based on probabilistic noise models of road surface marker features using multiple cameras
Kichun Jo, Yongwoo Jo, Jae Kyu Suhr, Ho Gi Jung, and Myoungho Sunwoo · 2015
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Vehicle localization using mono-camera and geo-referenced traffic signs
Xiaozhi Qu, Bahman Soheilian, and Nicolas Paparoditis · 2015
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Fast LiDAR localization using multiresolution gaussian mixture maps
Ryan W Wolcott and Ryan M Eustice · 2015
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Deep residual learning for image recognition
Kaiming He, X. Zhang, Shaoqing Ren, and Jian Sun · 2016
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Vertical corner feature based precise vehicle localization using 3d lidar in urban area
Jun-Hyuck Im, Sung-Hyuck Im, and Gyu-In Jee · 2016
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Pole-based localization for autonomous vehicles in urban scenarios
Robert Spangenberg, Daniel Goehring, and Raúl Rojas · 2016
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Robust vehicle localization using entropy-weighted particle filter-based data fusion of vertical and road intensity information for a large scale urban area
Hyungjin Kim, Bingbing Liu, Chi Yuan Goh, Serin Lee, and Hyun Myung · 2017
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Feature pyramid networks for object detection
Tsung-Yi Lin, Piotr Dollár, Ross Girshick, Kaiming He, Bharath Hariharan, and Serge Belongie · 2017
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Monocular localization in urban environments using road markings
Yan Lu, Jiawei Huang, Yi-Ting Chen, and Bernd Heisele · 2017
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Sensor fusion-based low-cost vehicle localization system for complex urban environments
Jae Kyu Suhr, Jeungin Jang, Daehong Min, and Ho Gi Jung · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin · 2017
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Robust LiDAR localization using multiresolution gaussian mixture maps for autonomous driving
Ryan W Wolcott and Ryan M Eustice · 2017
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Learning to localize using a lidar intensity map
Ioan Andrei Bârsan, Shenlong Wang, Andrei Pokrovsky, and Raquel Urtasun · 2018
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Efficient surfel-based slam using 3d laser range data in urban environments
Jens Behley and Cyrill Stachniss · 2018
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Self-localization based on visual lane marking maps: An accurate low-cost approach for autonomous driving
Rafael Peixoto Derenzi Vivacqua, Massimo Bertozzi, Pietro Cerri, Felipe Nascimento Martins, and Raquel Frizera Vassallo · 2018
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Robust and precise vehicle localization based on multi-sensor fusion in diverse city scenes
Guowei Wan, Xiaolong Yang, Renlan Cai, Hao Li, Yao Zhou, Hao Wang, and Shiyu Song · 2018
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Autonomous vehicle self-localization based on abstract map and multi-channel lidar in urban area
Ehsan Javanmardi, Yanlei Gu, Mahdi Javanmardi, and Shunsuke Kamijo · 2019
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PointPillars: Fast encoders for object detection from point clouds
Alex H. Lang, Sourabh Vora, Holger Caesar, Lubing Zhou, Jiong Yang, and Oscar Beijbom · 2019
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A precise and robust segmentation-based lidar localization system for automated urban driving
Hang Liu, Qin Ye, Hairui Wang, Liang Chen, and Jian Yang · 2019
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A light-weight semantic map for visual localization towards autonomous driving
Tong Qin, Yuxin Zheng, Tongqing Chen, Yilun Chen, and Qing Su · 2021
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Categorical depth distribution network for monocular 3d object detection
Cody Reading, Ali Harakeh, Julia Chae, and Steven L. Waslander · 2021
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PointAugmenting: Cross-modal augmentation for 3d object detection
Chunwei Wang, Chao Ma, Ming Zhu, and Xiaokang Yang · 2021
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Visual semantic localization based on hd map for autonomous vehicles in urban scenarios
Huayou Wang, Changliang Xue, Yanxing Zhou, Feng Wen, and Hongbo Zhang · 2021
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Projecting your view attentively: Monocular road scene layout estimation via cross-view transformation
Weixiang Yang, Qi Li, Wenxi Liu, Yuanlong Yu, Yuexin Ma, Shengfeng He, and Jia Pan · 2021
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L3-Net: Towards learning based LiDAR localization for autonomous driving
Weixin Lu, Yao Zhou, Guowei Wan, Shenhua Hou, and Shiyu Song · 2019
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Exploiting sparse semantic hd maps for self-driving vehicle localization
Wei-Chiu Ma, Ignacio Tartavull, Ioan Andrei Bârsan, Shenlong Wang, Min Bai, Gellert Mattyus, Namdar Homayounfar, Shrinidhi Kowshika Lakshmikanth, Andrei Pokrovsky, and Raquel Urtasun · 2019
Cited alongside, same era.
Long-term urban vehicle localization using pole landmarks extracted from 3-d lidar scans
Alexander Schaefer, Daniel Büscher, Johan Vertens, Lukas Luft, and Wolfram Burgard · 2019
Cited alongside, same era.
Learning to localize through compressed binary maps
Xinkai Wei, Ioan Andrei Bârsan, Shenlong Wang, Julieta Martinez, and Raquel Urtasun · 2019
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Improving localization by learning pole-like landmarks using a semi-supervised approach
Tiago Barros, Luís Garrote, Ricardo Pereira, Cristiano Premebida, and Urbano J. Nunes · 2020
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HDMI-Loc: Exploiting high definition map image for precise localization via bitwise particle filter
Jinyong Jeong, Younggun Cho, and Ayoung Kim · 2020
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CenterMask: Real-time anchor-free instance segmentation
Youngwan Lee and Jongyoul Park · 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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TransFusion: Robust lidar-camera fusion for 3d object detection with transformers
Xuyang Bai, Zeyu Hu, Xinge Zhu, Qingqiu Huang, Yilun Chen, Hongbo Fu, and Chiew-Lan Tai · 2022
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EPro-PnP: Generalized end-to-end probabilistic perspective-n-points for monocular object pose estimation
Hansheng Chen, Pichao Wang, Fan Wang, Wei Tian, Lu Xiong, and Hao Li · 2022
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HDMapNet: An online hd map construction and evaluation framework
Qi Li, Yue Wang, Yilun Wang, and Hang Zhao · 2022
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BEVDepth: Acquisition of reliable depth for multi-view 3d object detection
Yinhao Li, Zheng Ge, Guanyi Yu, Jinrong Yang, Zengran Wang, Yukang Shi, Jianjian Sun, and Zeming Li · 2022
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DeepFusion: Lidar-camera deep fusion for multi-modal 3d object detection
Yingwei Li, Adams Wei Yu, Tianjian Meng, Ben Caine, Jiquan Ngiam, Daiyi Peng, Junyang Shen, Yifeng Lu, Denny Zhou, Quoc V. Le, Alan Yuille, and Mingxing Tan · 2022
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BEVFormer: Learning bird’s-eye-view representation from multi-camera images via spatiotemporal transformers
Zhiqi Li, Wenhai Wang, Hongyang Li, Enze Xie, Chonghao Sima, Tong Lu, Yu Qiao, and Jifeng Dai · 2022
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SemLoc: Accurate and robust visual localization with semantic and structural constraints from prior maps
Shiwen Liang, Yunzhou Zhang, Rui Tian, Delong Zhu, Linghao Yang, and Zhenzhong Cao · 2022
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PETRv2: A unified framework for 3d perception from multi-camera images
Yingfei Liu, Junjie Yan, Fan Jia, Shuailin Li, Qi Gao, Tiancai Wang, Xiangyu Zhang, and Jian Sun · 2022
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VectorMapNet: End-to-end vectorized hd map learning
Yicheng Liu, Yuan Yuantian, Yue Wang, Yilun Wang, and Hang Zhao · 2022
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BEVFusion: Multi-task multi-sensor fusion with unified bird’s-eye view representation
Zhijian Liu, Haotian Tang, Alexander Amini, Xinyu Yang, Huizi Mao, Daniela Rus, and Song Han · 2022
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BEVSegFormer: Bird’s eye view semantic segmentation from arbitrary camera rigs
Lang Peng, Zhirong Chen, Zhang-Hua Fu, Pengpeng Liang, and Erkang Cheng · 2022
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Robust monocular localization in sparse hd maps leveraging multi-task uncertainty estimation
Kürsat Petek, Kshitij Sirohi, Daniel Büscher, and Wolfram Burgard · 2022
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Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unprojecting to 3d
Jonah Philion and Sanja Fidler · 2022
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LTSR: Long-term semantic relocalization based on hd map for autonomous vehicles
Huayou Wang, Changliang Xue, Yu Tang, Wanlong Li, Feng Wen, and Hongbo Zhang · 2022
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BEV-Locator: An end-to-end visual semantic localization network using multi-view images
Zhihuang Zhang, Meng Xu, Wenqiang Zhou, Tao Peng, Liang Li, and Stefan Poslad · 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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