Li et al., 2025 - Google Patents
Visual SLAM with semantic and geometric constraints in dynamic environmentsLi et al., 2025
- Document ID
- 9063218867989987191
- Author
- Li Z
- Zhang X
- Fan L
- Li J
- Publication year
- Publication venue
- Journal of Electronic Imaging
External Links
Snippet
To enhance the robustness and accuracy of visual simultaneous localization and mapping (SLAM) in dynamic environments, we present an advanced SLAM system that integrates semantic and geometric constraints for precise localization and dense mapping. First, the …
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20112—Image segmentation details
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10024—Color image
-
- 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
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
-
- 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
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/20—Analysis of motion
-
- 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
- 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
- G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
-
- 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
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image
- G06T3/0068—Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image for image registration, e.g. elastic snapping
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2200/00—Indexing scheme for image data processing or generation, in general
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Zhang et al. | H3dnet: 3d object detection using hybrid geometric primitives | |
| CN109643368B (en) | Detect objects in video data | |
| Zhao et al. | OFM‐SLAM: A Visual Semantic SLAM for Dynamic Indoor Environments | |
| Anthwal et al. | An overview of optical flow-based approaches for motion segmentation | |
| Liu | Moving object detection technology of line dancing based on machine vision | |
| Zhang et al. | A robust visual odometry based on RGB-D camera in dynamic indoor environments | |
| Dai et al. | RGB‐D SLAM with moving object tracking in dynamic environments | |
| Mohan et al. | Room layout estimation in indoor environment: a review | |
| Li et al. | Visual SLAM with semantic and geometric constraints in dynamic environments | |
| Lin et al. | Dense 3D surface reconstruction of large-scale streetscape from vehicle-borne imagery and LiDAR | |
| Jiang et al. | Semantic closed-loop based visual mapping algorithm for automated valet parking | |
| Zhang et al. | A robust RGB‐D visual odometry with moving object detection in dynamic indoor scenes | |
| Zhou et al. | UAV based indoor localization and objection detection | |
| Wang et al. | Person detection, tracking and following using stereo camera | |
| Zhou et al. | Vision sensor‐based SLAM problem for small UAVs in dynamic indoor environments | |
| Nanwani et al. | Open-set 3D semantic instance maps for vision language navigation–O3D-SIM | |
| Zheng et al. | Semantic segmentation and scene reconstruction of RGB-D image frames: An end-to-end modular pipeline for robotic applications | |
| Meng et al. | Un-VDNet: unsupervised network for visual odometry and depth estimation | |
| An et al. | A visual dynamic-SLAM method based semantic segmentation and multi-view geometry | |
| Shen et al. | Increasing the localization accuracy of visual SLAM with semantic segmentation and motion consistency detection in dynamic scenes | |
| Yang et al. | Enhancing visual SLAM in dynamic environments with improved YOLOv8 | |
| Yan et al. | Three-dimensional rapid registration and reconstruction of multi-view rigid objects based on end-to-end deep surface model: S. Yan et al. | |
| Zhu et al. | SLM-SLAM: a visual SLAM system based on segmented large-scale model in dynamic scenes and zero-shot conditions | |
| Xiong et al. | Indoor scene texturing based on single mobile phone images and 3D model fusion | |
| Gao et al. | Parameter adaptive of visual SLAM based on DDPG |