[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Zhou et al., 2023 - Google Patents

PointSLOT: Real-Time Simultaneous Localization and Object Tracking for Dynamic Environment

Zhou et al., 2023

Document ID
996473726022097697
Author
Zhou P
Liu Y
Meng Z
Publication year
Publication venue
IEEE Robotics and Automation Letters

External Links

Snippet

The applicability of SLAM algorithms is largely limited to the assumption of scene rigidity. Moreover, dynamic object perception is an essential technique for many robotic applications such as autonomous driving and multi-robot collaboration. In this letter, we present …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

    • 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
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10016—Video; Image sequence
    • 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
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6201—Matching; Proximity measures
    • G06K9/6202—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
    • 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
    • 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
    • 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
    • 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

Similar Documents

Publication Publication Date Title
Yang et al. Monocular object and plane slam in structured environments
Behl et al. Bounding boxes, segmentations and object coordinates: How important is recognition for 3d scene flow estimation in autonomous driving scenarios?
Qin et al. Monogrnet: A geometric reasoning network for monocular 3d object localization
Rangesh et al. No blind spots: Full-surround multi-object tracking for autonomous vehicles using cameras and lidars
Saputra et al. Visual SLAM and structure from motion in dynamic environments: A survey
Yang et al. Learning to segment rigid motions from two frames
Belagiannis et al. Multiple human pose estimation with temporally consistent 3D pictorial structures
Zhou et al. PointSLOT: Real-Time Simultaneous Localization and Object Tracking for Dynamic Environment
Chen et al. PSF-LO: Parameterized semantic features based LiDAR odometry
Liu et al. A switching-coupled backend for simultaneous localization and dynamic object tracking
Ren et al. Visual-inertial multi-instance dynamic SLAM with object-level relocalisation
Liu et al. Optical flow-based stereo visual odometry with dynamic object detection
Wadud et al. DyOb-SLAM: Dynamic object tracking SLAM system
Chen et al. Joint scene flow estimation and moving object segmentation on rotational LiDAR data
Sahili et al. A Survey of Visual SLAM Methods
Zhu et al. LIMOT: a tightly-coupled system for LiDAR-inertial odometry and multi-object tracking
Xi et al. Multi-motion segmentation: Combining geometric model-fitting and optical flow for RGB sensors
Lim et al. Integrated position and motion tracking method for online multi-vehicle tracking-by-detection
Tian et al. Object SLAM with robust quadric initialization and mapping for dynamic outdoors
Gong et al. Real-time visual SLAM based YOLO-Fastest for dynamic scenes
Tourani et al. Using in-frame shear constraints for monocular motion segmentation of rigid bodies
Zhu et al. LVIF: a lightweight tightly coupled stereo-inertial SLAM with fisheye camera
Tian et al. DynaQuadric: Dynamic Quadric SLAM for Quadric Initialization, Mapping, and Tracking
Ji et al. A robust multi-object tracking SLAM system in dynamic scenes for stereo and RGB-D cameras
Jiang et al. UL-SLAM: A Universal Monocular Line-Based SLAM via Unifying Structural and Non-Structural Constraints