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

Huai et al., 2015 - Google Patents

Stereo-inertial odometry using nonlinear optimization

Huai et al., 2015

View PDF
Document ID
10661570583152076208
Author
Huai J
Toth C
Grejner-Brzezinska D
Publication year
Publication venue
Proceedings of the 28th International Technical Meeting of the Satellite Division of the Institute of Navigation (ION GNSS+ 2015)

External Links

Snippet

The complementary nature of visual and inertial sensors makes their fusion suitable for bridging GNSS gaps in challenged environments. Filtering-based approaches once dominated the integration of visual and inertial cues, but nonlinear optimization approaches …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20112Image segmentation details
    • 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
    • G06T7/00Image analysis
    • G06T7/20Analysis of motion
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10016Video; Image sequence
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10028Range image; Depth image; 3D point clouds
    • 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
    • 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
    • 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
    • G06K9/36Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46Extraction of features or characteristics of the image
    • 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
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00Three dimensional [3D] modelling, e.g. data description of 3D objects

Similar Documents

Publication Publication Date Title
CN110125928B (en) Binocular inertial navigation SLAM system for performing feature matching based on front and rear frames
Wang et al. F-loam: Fast lidar odometry and mapping
AU2016246024B2 (en) Method and device for real-time mapping and localization
Alcantarilla et al. On combining visual SLAM and dense scene flow to increase the robustness of localization and mapping in dynamic environments
EP3451288A1 (en) Visual-inertial odometry with an event camera
CN110298914B (en) Method for establishing fruit tree canopy feature map in orchard
CN112634451A (en) Outdoor large-scene three-dimensional mapping method integrating multiple sensors
Huai et al. Stereo-inertial odometry using nonlinear optimization
US10977810B2 (en) Camera motion estimation
Alcantarilla et al. Large-scale dense 3D reconstruction from stereo imagery
Tarrio et al. Realtime edge based visual inertial odometry for MAV teleoperation in indoor environments
Rückert et al. Snake-SLAM: Efficient global visual inertial SLAM using decoupled nonlinear optimization
CN112731503A (en) Pose estimation method and system based on front-end tight coupling
Bai et al. Perception-aided visual-inertial integrated positioning in dynamic urban areas
Xian et al. Fusing stereo camera and low-cost inertial measurement unit for autonomous navigation in a tightly-coupled approach
Hong et al. Visual inertial odometry using coupled nonlinear optimization
Zhu et al. PairCon-SLAM: Distributed, online, and real-time RGBD-SLAM in large scenarios
Lu et al. Vision-based localization methods under GPS-denied conditions
Panahandeh et al. Exploiting ground plane constraints for visual-inertial navigation
Ding et al. Stereo vision SLAM-based 3D reconstruction on UAV development platforms
Frosi et al. D3VIL-SLAM: 3D Visual Inertial LiDAR SLAM for Outdoor Environments
Li-Chee-Ming et al. Augmenting visp’s 3d model-based tracker with rgb-d slam for 3d pose estimation in indoor environments
Billy et al. Adaptive SLAM with synthetic stereo dataset generation for real-time dense 3D reconstruction
Zeng et al. Fast and Robust Semi-Direct Monocular Visual-Inertial Odometry for UAV
Veth et al. Image‐Aided Navigation–Concepts and Applications