/Map-matching

Primary LanguageC++

Map-Matching

Surveys

  1. A critical review of real-time map-matching algorithms: Current issues and future directions,Computers, Environment and Urban Systems,2014,paper
  2. A Survey and Quantitative Study on Map Inference Algorithms From GPS Trajectories,IEEE Transactions on Knowledge and Data Engineering,2022,paper

EN

  1. Some map matching algorithms for personal navigation assistants,Transportation Research Part C,2000,paper
  2. Highway map matching algorithm based on floating car data, 2012 IEEE International Geoscience and Remote Sensing Symposium,2012, paper
  3. A MULTI-WEIGHTS MAP MATCHING ALGORITHM USED IN GPS SYSTEM FOR VEHICLE NAVIGATION APPLICATION, 2014 12th International Conference on Signal Processing,2014,paper
  4. Map matching approach for current location tracking on the road network, 2017 International Conference on Infocom Technologies and Unmanned Systems, 2017, paper
  5. DeepRoadMapper: Extracting Road Topology from Aerial Images,IEEE International Conference on Computer Vision,2017,paper
  6. D-LinkNet: LinkNet with Pretrained Encoder and Dilated Convolution for High Resolution Satellite Imagery Road Extraction,* IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops,2018*,paper
  7. A Fast Map Matching Algorithm Based on Topological Relation of Road Network, 2019 International Conference on Machine Learning, Big Data and Business Intelligence, 2019, paper
  8. Vehicle Localization Based on Visual Lane Marking and Topological Map Matching, 2020 IEEE International Conference on Robotics and Automation, 2020, paper
  9. Map Matching Algorithm Based on Trajectory Feature Identification, 2021 40th Chinese Control Conference,2021,paper
  10. Deep Learning Enhanced GPS Positioning in Urban Canyons, IEEE Transactions on Mobile Computing 2022, paper
  11. DeepMM: Deep Learning Based Map Matching With Data Augmentation, IEEE Transactions on Mobile Computing, 2022, paper
  12. A Route Choice-Based Interactive Voting Map Matching Approach for Complex Urban Road Networks, IEEE Transactions on Big Data,2022,paper
  13. A Fusion Map Matching Method for Low-Cost Ground Autonomic Positioning System, IEEE Sensors Journal,2022,paper

CODE

  1. algorithm, from github

Tutorials

  1. 图神经网络（GNN）,Web,Code

  2. 强化学习,Web

Applied Papers

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