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Cross-View Matching for Vehicle Localization by Learning Geographically Local Representations

Zimin Xia, Olaf Booij, Marco Manfredi, Julian F. P. Kooij
2021 IEEE Robotics and Automation Letters  
Cross-View Matching for Vehicle Localization by Learning Geographically Local Representations Zimin Xia , Olaf Booij, Marco Manfredi, and Julian F. P.  ...  given by cross-view matching.  ... 
doi:10.1109/lra.2021.3088076 fatcat:tnmye46yhbe5xo3s6wrcgr2g4q


V. V. Kniaz, P. Moshkantseva
2021 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
This paper focuses on developing a deep learning ThermalReID framework for cross-modality object ReID in thermal images.  ...  We use the IoU and mAP metrics for the object detection task. We use the cumulative matching characteristic (CMC) curves and normalized area-under-curve (nAUC) for the ReID task.  ...  Our semantic geo-localization approach is inspired by tiled map representations.  ... 
doi:10.5194/isprs-archives-xliv-2-w1-2021-131-2021 fatcat:hfw62uz7znalfjre35bw2fhife

Evaluating the Capability of OpenStreetMap for Estimating Vehicle Localization Error

Kelvin Wong, Ehsan Javanmardi, Mahdi Javanmardi, Yanlei Gu, Shunsuke Kamijo
2019 2019 IEEE Intelligent Transportation Systems Conference (ITSC)  
Six map evaluation factors were defined for 2D geographic information in a vector format.  ...  Initial results for a 1.2 km path in Shinjuku, Tokyo, show that vehicle localization error can be estimated with 56.3% model prediction accuracy with two existing OSM data layers only.  ...  ACKNOWLEDGMENT Kelvin Wong is an International Research Fellow of Japan Society for the Promotion of Science (Postdoctoral Fellowships for Research in Japan (Short-term)).  ... 
doi:10.1109/itsc.2019.8917182 dblp:conf/itsc/WongJJGK19 fatcat:7d5dgwac6jgvldyxfepd3agxoa

Estimating Autonomous Vehicle Localization Error Using 2D Geographic Information

Kelvin Wong, Ehsan Javanmardi, Mahdi Javanmardi, Shunsuke Kamijo
2019 ISPRS International Journal of Geo-Information  
Considering this relationship, it is therefore possible to estimate localization error by quantifying the representation and layout of real-world phenomena.  ...  This paper investigates the use of pre-existing 2D geographic information datasets as a proxy to estimate autonomous vehicle localization error.  ...  For vehicle localization, however, the use of buildings alone for map matching may be insufficient.  ... 
doi:10.3390/ijgi8060288 fatcat:eioxlm7zg5gldkfysats26xzbu

Image-Based Geo-Localization Using Satellite Imagery [article]

Sixing Hu, Gim Hee Lee
2019 arXiv   pre-print
To this end, in this paper we work on the extension of our earlier work on the Cross-View Matching Network (CVM-Net) for the ground-to-aerial image matching task since the traditional image descriptors  ...  Experimental results show that our proposed Markov localization framework can continuously localize the vehicle within a small error on our Singapore dataset.  ...  (CNN) to learn representations for matching between ground and aerial images.  ... 
arXiv:1903.00159v3 fatcat:jcsbr3dn5vh2zfmx3radzymuqq

Visual and Object Geo-localization: A Comprehensive Survey [article]

Daniel Wilson, Xiaohan Zhang, Waqas Sultani, Safwan Wshah
2021 arXiv   pre-print
, the fields of visual and object geo-localization have emerged due to its significant impact on a wide range of applications such as augmented reality, robotics, self-driving vehicles, road maintenance  ...  As massive datasets of GPS tagged media have rapidly become available due to smartphones and the internet, and deep learning has risen to enhance the performance capabilities of machine learning models  ...  By matching results in the cross-view image geo-localization domain.  ... 
arXiv:2112.15202v1 fatcat:ipwas72ro5ho5fjiakm6de7ji4

A Transformer-Based Feature Segmentation and Region Alignment Method For UAV-View Geo-Localization

Ming Dai, Jianhong Hu, Jiedong Zhuang, Enhui Zheng
2021 IEEE transactions on circuits and systems for video technology (Print)  
Cross-view geo-localization is a task of matching the same geographic image from different views, e.g., unmanned aerial vehicle (UAV) and satellite.  ...  The CNN-based methods have achieved great success in cross-view geo-localization.  ...  ACKNOWLEDGMENTS The research is supported by the National Natural Science Foundation of China (Project 51605462).  ... 
doi:10.1109/tcsvt.2021.3135013 fatcat:dx4vl2thdvhxlpdrnvb6nnvnoi

A Faster and More Effective Cross-View Matching Method of UAV and Satellite Images for UAV Geolocalization

Jiedong Zhuang, Ming Dai, Xuruoyan Chen, Enhui Zheng
2021 Remote Sensing  
Cross-view geolocalization matches the same target in different images from various views, such as views of unmanned aerial vehicles (UAVs) and satellites, which is a key technology for UAVs to autonomously  ...  The features of different views are extracted by a multibranch structure, which was designed to make different branches learn from each other, leading to a more subtle relationship between views.  ...  We also thank Jingjing Xiong from China Jiliang University and Jiliang Luo from Huaqiao University for their advice and help for the article.  ... 
doi:10.3390/rs13193979 fatcat:rq44pd26xzhrbpkudth6d4l3vq

Accurate Visual Localization for Automotive Applications [article]

Eli Brosh, Matan Friedmann, Ilan Kadar, Lev Yitzhak Lavy, Elad Levi, Shmuel Rippa, Yair Lempert, Bruno Fernandez-Ruiz, Roei Herzig, Trevor Darrell
2019 arXiv   pre-print
Our solution uses a self-supervised approach to learn a compact road image representation.  ...  Accurate vehicle localization is a crucial step towards building effective Vehicle-to-Vehicle networks and automotive applications.  ...  In addition, we would like to study the relationship between the localization performance and the amount of visual data that is used for learning the VL-GIST representation.  ... 
arXiv:1905.03706v1 fatcat:zcudnfk2bjehje77kdfyay2xty

Trends in Vehicle Re-identification Past, Present, and Future: A Comprehensive Review [article]

Zakria, Jianhua Deng, Muhammad Saddam Khokhar, Muhammad Umar Aftab, Jingye Cai, Rajesh Kumar, Jay Kumar
2021 arXiv   pre-print
Vehicle re-id matches targeted vehicle over non-overlapping views in multiple camera network.  ...  We aim to facilitate future research by reviewing the work being done on vehicle re-id till to date.  ...  Acknowledgments I am grateful to my worthy supervisor as well as all the lab mates for their endless support.  ... 
arXiv:2102.09744v1 fatcat:s4pnrs7eljbpxpoo2dhtfstczi

Trends in Vehicle Re-Identification Past, Present, and Future: A Comprehensive Review

Zakria, Jianhua Deng, Yang Hao, Muhammad Saddam Khokhar, Rajesh Kumar, Jingye Cai, Jay Kumar, Muhammad Umar Aftab
2021 Mathematics  
Vehicle re-id matches targeted vehicle over non-overlapping views in multiple camera network.  ...  We aim to facilitate future research by reviewing the work being done on vehicle re-id till to date.  ...  Zhou et al. [78] proposed GAN based model to solve cross-view vehicle re-id problem by generating vehicle images in different viewpoints.  ... 
doi:10.3390/math9243162 fatcat:hawixmc55ndspmp3oti525alma

A survey on Visual-Based Localization: On the benefit of heterogeneous data

Nathan Piasco, Désiré Sidibé, Cédric Demonceaux, Valérie Gouet-Brunet
2018 Pattern Recognition  
We start by categorizing VBL methods into two distinct families: indirect and direct localization systems.  ...  We are surrounded by plenty of information about our environment. From these multiple sources, numerous data could be extracted: set of images, 3D model, coloured points cloud...  ...  Acknowledgements We would like to acknowledge the French ANR project pLaTINUM (ANR-15-CE23-0010) for its financial support.  ... 
doi:10.1016/j.patcog.2017.09.013 fatcat:adelbfkxgfd3xik6f7fubv32mu

Real-time Geo-localization Using Satellite Imagery and Topography for Unmanned Aerial Vehicles [article]

Shuxiao Chen, Xiangyu Wu, Mark W. Mueller, Koushil Sreenath
2021 arXiv   pre-print
At the second stage, for each captured real-world query image, top global matches are retrieved from the database and the vehicle pose is further refined via local descriptor matching.  ...  In order to make image-based geo-localization online and pragmatic for lightweight embedded systems on UAVs, we propose a framework that is reliable in changing scenes, flexible about computing resource  ...  ACKNOWLEDGMENT Research was sponsored by the Army Research Laboratory and was accomplished under Cooperative Agreement Number W911NF-20-2-0105.  ... 
arXiv:2108.03344v1 fatcat:onja4qa3fzaazaqipbgo2ydp4i

Pit30M: A Benchmark for Global Localization in the Age of Self-Driving Cars [article]

Julieta Martinez, Sasha Doubov, Jack Fan, Ioan Andrei Bârsan, Shenlong Wang, Gellért Máttyus, Raquel Urtasun
2020 arXiv   pre-print
We are interested in understanding whether retrieval-based localization approaches are good enough in the context of self-driving vehicles.  ...  Our work provides, for the first time, a benchmark for sub-metre retrieval-based localization at city scale.  ...  Pajdla, “Geometry-aware learning of maps for camera localization,” “24/7 place recognition by view synthesis,” in CVPR, 2015. in CVPR, 2018. [26] J. Knopp, J. Sivic, and T.  ... 
arXiv:2012.12437v1 fatcat:ndplbmxflfhfflzuomqzexok2u

Exploiting Sparse Semantic HD Maps for Self-Driving Vehicle Localization [article]

Wei-Chiu Ma, Ignacio Tartavull, Ioan Andrei Bârsan, Shenlong Wang, Min Bai, Gellert Mattyus, Namdar Homayounfar, Shrinidhi Kowshika Lakshmikanth, Andrei Pokrovsky, Raquel Urtasun
2019 arXiv   pre-print
Towards this goal, we formulate the problem in a Bayesian filtering framework, and exploit lanes, traffic signs, as well as vehicle dynamics to localize robustly with respect to a sparse semantic map.  ...  localizers.  ...  neural network to learn the task of online-to-map matching in order to improve robustness to dynamic objects and eliminate the need for LiDAR intensity calibration.  ... 
arXiv:1908.03274v1 fatcat:gdbrztrdlnebtmbqp364hopiky
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