[go: up one dir, main page]

Ye et al., 2024 - Google Patents

Cross-view image geo-localization with Panorama-BEV Co-Retrieval Network

Ye et al., 2024

View PDF
Document ID
6320999754820909536
Author
Ye J
Lv Z
Li W
Yu J
Yang H
Zhong H
He C
Publication year
Publication venue
European Conference on Computer Vision

External Links

Snippet

Cross-view geolocalization identifies the geographic location of street view images by matching them with a georeferenced satellite database. Significant challenges arise due to the drastic appearance and geometry differences between views. In this paper, we propose …
Continue reading at arxiv.org (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30241—Information retrieval; Database structures therefor; File system structures therefor in geographical information databases
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30244—Information retrieval; Database structures therefor; File system structures therefor in image databases
    • G06F17/30247—Information retrieval; Database structures therefor; File system structures therefor in image databases based on features automatically derived from the image data
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30861—Retrieval from the Internet, e.g. browsers
    • G06F17/30864—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems
    • G06F17/3087—Spatially dependent indexing and retrieval, e.g. location dependent results to queries
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00—Navigation; Navigational instruments not provided for in preceding groups
    • G01C21/26—Navigation; Navigational instruments not provided for in preceding groups specially adapted for navigation in a road network
    • G01C21/28—Navigation; Navigational instruments not provided for in preceding groups specially adapted for navigation in a road network with correlation of data from several navigational instruments
    • G01C21/30—Map- or contour-matching
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00—Navigation; Navigational instruments not provided for in preceding groups
    • G01C21/26—Navigation; Navigational instruments not provided for in preceding groups specially adapted for navigation in a road network
    • G01C21/34—Route searching; Route guidance
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00—Navigation; Navigational instruments not provided for in preceding groups
    • G01C21/20—Instruments for performing navigational calculations
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46—Extraction of features or characteristics of the image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
    • G06T17/05—Geographic models

Similar Documents

Publication Publication Date Title
Ali-bey et al. Gsv-cities: Toward appropriate supervised visual place recognition
Majdik et al. Air‐ground matching: Appearance‐based GPS‐denied urban localization of micro aerial vehicles
Tsai et al. Three‐dimensional positioning from Google street view panoramas
Lentsch et al. Slicematch: Geometry-guided aggregation for cross-view pose estimation
Ye et al. Cross-view image geo-localization with Panorama-BEV Co-Retrieval Network
Cheng et al. Crowd-sourced pictures geo-localization method based on street view images and 3D reconstruction
TW201107713A (en) Apparatus and method for position determination
Fedorov et al. A framework for outdoor mobile augmented reality and its application to mountain peak detection
US10810466B2 (en) Method for location inference from map images
US11402232B2 (en) Off-viewport location indications for digital mapping
Durgam et al. Cross-view geo-localization: a survey
Luo et al. Bevplace++: Fast, robust, and lightweight lidar global localization for unmanned ground vehicles
CN106649777B (en) Method for constructing intersection topological relation in panoramic vector data
Bui et al. Cross-view geo-localization for autonomous UAV using locally-aware transformer-based network
Zhang et al. Enrichment of topographic road database for the purpose of routing and navigation
Li et al. Aerial-view geo-localization based on multi-layer local pattern cross-attention network
Fervers et al. Statewide visual geolocalization in the wild
CN114743395B (en) Signal lamp detection method, device, equipment and medium
Lu et al. Estimation of Transformation Parameters Between Centre‐Line Vector Road Maps and High Resolution Satellite Images
Cao et al. Learning spatial-aware cross-view embeddings for ground-to-aerial geolocalization
Guan et al. Multi-level representation learning via ConvNeXt-based network for unaligned cross-view matching
CN105260389A (en) Unmanned aerial vehicle reconnaissance image data management and visual display method
Yan et al. Polygon-based image registration: A new approach for geo-referencing historical maps
Xu et al. AENet: attention efficient network for cross-view image geo-localization.
Ye et al. Where am I? Cross-View Geo-localization with Natural Language Descriptions