Liu, 2024 - Google Patents
High precision map crowdsource update technology and SLAM technology-Application in autonomous drivingLiu, 2024
View PDF- Document ID
- 11611824523601292739
- Author
- Liu D
- Publication year
- Publication venue
- Journal of Physics: Conference Series
External Links
Snippet
In response to the challenges faced by real-time dynamic updates of high-precision maps for autonomous driving in terms of high precision, high reliability, and high safety, this paper summarizes the difficulties and challenges currently faced by high-precision map updates …
- 238000005516 engineering process 0 title abstract description 36
Classifications
-
- 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
- G01C21/32—Structuring or formatting of map 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
- G06F17/30241—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
- G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
-
- 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
- G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
-
- 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
- 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
-
- 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
- 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
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Zhang et al. | Distributed dynamic map fusion via federated learning for intelligent networked vehicles | |
Hu et al. | GeoAI at ACM SIGSPATIAL: progress, challenges, and future directions | |
CN110021072B (en) | Holographic mapping-oriented multi-platform point cloud intelligent processing method | |
Mi et al. | Automated 3D road boundary extraction and vectorization using MLS point clouds | |
Zhao et al. | Lidar mapping optimization based on lightweight semantic segmentation | |
CN109256028B (en) | Method for automatically generating unmanned high-precision road network | |
CN109101743A (en) | A kind of construction method of high-precision road net model | |
Qiu et al. | Automatic extraction of road networks from GPS traces | |
Martinez et al. | Pit30m: A benchmark for global localization in the age of self-driving cars | |
Lu et al. | A lightweight real-time 3D LiDAR SLAM for autonomous vehicles in large-scale urban environment | |
Shi et al. | LiDAR localization at 100 FPS: a map-aided and template descriptor-based global method | |
He et al. | AutoMatch: Leveraging Traffic Camera to Improve Perception and Localization of Autonomous Vehicles | |
Huang et al. | Overview of LiDAR point cloud target detection methods based on deep learning | |
Li et al. | Map-based localization for intelligent vehicles from bi-sensor data fusion | |
Li et al. | An efficient point cloud place recognition approach based on transformer in dynamic environment | |
Wang et al. | Pole-like objects mapping and long-term robot localization in dynamic urban scenarios | |
Li et al. | VIS-MM: a novel map-matching algorithm with semantic fusion from vehicle-borne images | |
Xia et al. | DuARUS: Automatic Geo-object Change Detection with Street-view Imagery for Updating Road Database at Baidu Maps | |
Hu et al. | A novel method for the detection of road intersections and traffic rules using big floating car data | |
CN114116933A (en) | Semantic topology joint map building method based on monocular image | |
Liu | High precision map crowdsource update technology and SLAM technology-Application in autonomous driving | |
CN114120631B (en) | Method and device for constructing dynamic high-precision map and traffic cloud control platform | |
Shi et al. | Lane-level road network construction based on street-view images | |
Tao et al. | SMLAD: Simultaneous Matching, Localization, and Detection for Intelligent Vehicle from LiDAR Map with Semantic Likelihood Model | |
Vauchey et al. | Particle filter meets hybrid octrees: an octree-based ground vehicle localization approach without learning |