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

Keshavan et al., 2017 - Google Patents

An optical flow-based solution to the problem of range identification in perspective vision systems

Keshavan et al., 2017

Document ID
17355923324595997706
Author
Keshavan J
Humbert J
Publication year
Publication venue
Journal of Intelligent & Robotic Systems

External Links

Snippet

A classical problem in machine vision is the range identification of an object moving in three- dimensional space from the two-dimensional image sequence obtained with a monocular camera. This study presents a novel reduced-order optical flow-based nonlinear observer …
Continue reading at link.springer.com (other versions)

Classifications

    • 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
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6288—Fusion techniques, i.e. combining data from various sources, e.g. sensor fusion
    • G06K9/629—Fusion techniques, i.e. combining data from various sources, e.g. sensor fusion of extracted features
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • 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
    • G01—MEASURING; TESTING
    • G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00—Navigation; Navigational instruments not provided for in preceding groups
    • G01C21/10—Navigation; Navigational instruments not provided for in preceding groups by using measurements of speed or acceleration
    • G01C21/12—Navigation; Navigational instruments not provided for in preceding groups by using measurements of speed or acceleration executed aboard the object being navigated; Dead reckoning
    • G01C21/16—Navigation; 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
    • 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
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot

Similar Documents

Publication Publication Date Title
Dani et al. Globally exponentially stable observer for vision-based range estimation
Henawy et al. Accurate IMU factor using switched linear systems for VIO
Martinelli Observability properties and deterministic algorithms in visual-inertial structure from motion
Park et al. Vision-based SLAM system for small UAVs in GPS-denied environments
Ferguson et al. A 2d-3d object detection system for updating building information models with mobile robots
Bell et al. Single scene and path reconstruction with a monocular camera using integral concurrent learning
Michot et al. Bi-objective bundle adjustment with application to multi-sensor slam
Keshavan et al. An optical flow-based solution to the problem of range identification in perspective vision systems
Bell et al. Velocity and path reconstruction of a moving object using a moving camera
Wang et al. A submap joining based RGB-D SLAM algorithm using planes as features
Boucheloukh et al. UAV navigation based on adaptive fuzzy backstepping controller using visual odometry
Donavanik et al. Multi-sensor fusion techniques for state estimation of micro air vehicles
Billy et al. Adaptive SLAM with synthetic stereo dataset generation for real-time dense 3D reconstruction
Keshavan et al. An analytically stable structure and motion observer based on monocular vision
Keshavan et al. An adaptive observer framework for accurate feature depth estimation using an uncalibrated monocular camera
Gans et al. Image Based State Estimation.
Gui et al. Robust direct visual inertial odometry via entropy-based relative pose estimation
Parikh et al. A switched systems approach to image-based localization of targets that temporarily leave the field of view
Mejri et al. Three-dimensional structure from motion recovery of a moving object with noisy measurement
Pal et al. Evolution of simultaneous localization and mapping framework for autonomous robotics—a comprehensive review
Wang et al. Real-time visual odometry estimation based on principal direction detection on ceiling vision
Carvalho et al. Particle swarm localization for mobile robots using a 2D laser sensor
Li et al. A general monocular visual servoing structure for mobile robots in natural scene using SLAM
Cheng et al. The Multi-UAV Collaborative Localization Based on Visual and Inertial Sensors
Roumeliotis et al. Vision-aided inertial navigation