Nothing Special   »   [go: up one dir, main page]

Weng et al., 2022 - Google Patents

Visual–inertial structural acceleration measurement

Weng et al., 2022

Document ID
6433771132117450143
Author
Weng Y
Lu Z
Lu X
Spencer Jr B
Publication year
Publication venue
Computer‐Aided Civil and Infrastructure Engineering

External Links

Snippet

Structural vibration measurement is a crucial and necessary step for structural health monitoring. Recently, computer vision‐based techniques have been proposed by researchers to measure structural motion remotely. However, the direct application of vision …
Continue reading at onlinelibrary.wiley.com (other versions)

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00Navigation; Navigational instruments not provided for in preceding groups
    • G01C21/10Navigation; Navigational instruments not provided for in preceding groups by using measurements of speed or acceleration
    • G01C21/12Navigation; Navigational instruments not provided for in preceding groups by using measurements of speed or acceleration executed aboard the object being navigated; Dead reckoning
    • G01C21/16Navigation; Navigational instruments not provided for in preceding groups by using measurements of speed or acceleration executed aboard the object being navigated; Dead reckoning by integrating acceleration or speed, i.e. inertial navigation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00624Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • G06K9/00664Recognising scenes such as could be captured by a camera operated by a pedestrian or robot, including objects at substantially different ranges from the camera
    • G06K9/00684Categorising the entire scene, e.g. birthday party or wedding scene
    • G06K9/00697Outdoor scenes
    • G06K9/00704Urban scenes
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10032Satellite or aerial image; Remote sensing
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/20Analysis of motion
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C11/00Photogrammetry or videogrammetry, e.g. stereogrammetry; Photographic surveying
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N5/00Details of television systems
    • H04N5/222Studio circuitry; Studio devices; Studio equipment; Cameras comprising an electronic image sensor, e.g. digital cameras, video cameras, TV cameras, video cameras, camcorders, webcams, camera modules for embedding in other devices, e.g. mobile phones, computers or vehicles
    • H04N5/225Television cameras; Cameras comprising an electronic image sensor, e.g. digital cameras, video cameras, video cameras, camcorders, webcams, camera modules for embedding in other devices, e.g. mobile phones, computers or vehicles
    • H04N5/232Devices for controlling television cameras, e.g. remote control; Control of cameras comprising an electronic image sensor, e.g. digital cameras, video cameras, TV cameras, video cameras, camcorders, webcams, camera modules for embedding in, e.g. mobile phones, computers or vehicles
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING

Similar Documents

Publication Publication Date Title
Yoon et al. Structural displacement measurement using an unmanned aerial system
Bloesch et al. Iterated extended Kalman filter based visual-inertial odometry using direct photometric feedback
Hoskere et al. Vision-based modal survey of civil infrastructure using unmanned aerial vehicles
JP6812404B2 (en) Methods, devices, computer-readable storage media, and computer programs for fusing point cloud data
Weng et al. Homography‐based structural displacement measurement for large structures using unmanned aerial vehicles
US10096129B2 (en) Three-dimensional mapping of an environment
CN109520497B (en) Unmanned aerial vehicle autonomous positioning method based on vision and imu
Panahandeh et al. Vision-aided inertial navigation based on ground plane feature detection
Weng et al. Visual–inertial structural acceleration measurement
US20180075614A1 (en) Method of Depth Estimation Using a Camera and Inertial Sensor
CN112050806B (en) Positioning method and device for moving vehicle
US11069071B1 (en) System and method for egomotion estimation
CN104848861A (en) Image vanishing point recognition technology based mobile equipment attitude measurement method
Wang et al. Monitoring the earthquake response of full‐scale structures using UAV vision‐based techniques
Zheng et al. SE (2)-constrained visual inertial fusion for ground vehicles
CN112731503A (en) Pose estimation method and system based on front-end tight coupling
Xian et al. Fusing stereo camera and low-cost inertial measurement unit for autonomous navigation in a tightly-coupled approach
Li et al. Invariant observer-based state estimation for micro-aerial vehicles in GPS-denied indoor environments using an RGB-D camera and MEMS inertial sensors
Jiang et al. A 6-DOF camera motion correction method using IMU sensors for photogrammetry and optical measurements
Panahandeh et al. Exploiting ground plane constraints for visual-inertial navigation
Jeon et al. Quaternion-Based Iterative Extended Kalman Filter for Sensor Fusion of Vision Sensor and IMU in 6-DOF Displacement Monitoring
CN117330052A (en) Positioning and mapping method and system based on infrared vision, millimeter wave radar and IMU fusion
CN111862146A (en) Target object positioning method and device
CN113375665B (en) Unmanned aerial vehicle pose estimation method based on multi-sensor elastic coupling
Li et al. Motion tracking and detection system based on motion sensor