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

Madjidi et al., 2005 - Google Patents

Global alignment of sensor positions with noisy motion measurements

Madjidi et al., 2005

View PDF
Document ID
12104120229751724782
Author
Madjidi H
Negahdaripour S
Publication year
Publication venue
IEEE transactions on robotics

External Links

Snippet

We investigate the global alignment of some 3-D spatial points, knowing the motion between pairwise nearby positions. A common application is to determine the trajectory of a mobile vision-based system from the scene images acquired along its track. Exploiting redundant …
Continue reading at www.academia.edu (PDF) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • 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
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00Navigation; Navigational instruments not provided for in preceding groups
    • G01C21/20Instruments for performing navigational calculations
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S5/00Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations
    • G01S5/02Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations using radio waves
    • 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
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S19/00Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
    • G01S19/38Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system
    • G01S19/39Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system the satellite radio beacon positioning system transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
    • G01S19/42Determining position
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00Three dimensional [3D] modelling, e.g. data description of 3D objects
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T3/00Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image
    • G06T3/0068Geometric 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
    • 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
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions

Similar Documents

Publication Publication Date Title
Yin et al. Dynam-SLAM: An accurate, robust stereo visual-inertial SLAM method in dynamic environments
Kümmerle et al. On measuring the accuracy of SLAM algorithms
Kaess et al. iSAM: Fast incremental smoothing and mapping with efficient data association
Sim et al. Integrated position estimation using aerial image sequences
Zhang et al. Hierarchical topic model based object association for semantic SLAM
US20120306847A1 (en) Online environment mapping
Heo et al. Consistent EKF-based visual-inertial navigation using points and lines
Haddeler et al. Evaluation of 3D LiDAR sensor setup for heterogeneous robot team
Madjidi et al. Global alignment of sensor positions with noisy motion measurements
Muravyev et al. Evaluation of topological mapping methods in indoor environments
Nardi et al. Generation of laser-quality 2D navigation maps from RGB-D sensors
Mohedano et al. Camera localization usingtrajectories and maps
Wang et al. Visual SLAM incorporating wheel odometer for indoor robots
Briskin et al. Estimating pose and motion using bundle adjustment and digital elevation model constraints
Rybski et al. Appearance-based minimalistic metric SLAM
Sabatta et al. Vision-based path following using the 1D trifocal tensor
Robertson et al. Inertial systems based joint mapping and positioning for pedestrian navigation
Gokhool et al. A compact spherical RGBD keyframe-based representation
Namdev et al. Multibody vslam with relative scale solution for curvilinear motion reconstruction
Madjidi et al. Vision-based positioning and terrain mapping by global alignment for UAVs
Haner et al. Optimal view path planning for visual SLAM
Xiang SLAM for Ground Robots: Theories and Applications
Kelly et al. Simultaneous mapping and stereo extrinsic parameter calibration using GPS measurements
Persa et al. Real-time computer vision system for mobile robot
Hashimoto et al. Self-localization from a 360-Degree Camera Based on the Deep Neural Network