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

Price et al., 2018 - Google Patents

Deep neural network-based cooperative visual tracking through multiple micro aerial vehicles

Price et al., 2018

View PDF
Document ID
10907802793044317787
Author
Price E
Lawless G
Ludwig R
Martinovic I
Bülthoff H
Black M
Ahmad A
Publication year
Publication venue
IEEE Robotics and Automation Letters

External Links

Snippet

Multicamera tracking of humans and animals in outdoor environments is a relevant and challenging problem. Our approach to it involves a team of cooperating microaerial vehicles (MAVs) with on-board cameras only. Deep neural networks (DNNs) often fail at detecting …
Continue reading at ieeexplore.ieee.org (PDF) (other versions)

Classifications

    • 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
    • G05D1/02—Control of position or course in two dimensions
    • G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0231—Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means
    • 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
    • G05D1/02—Control of position or course in two dimensions
    • G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0287—Control of position or course in two dimensions specially adapted to land vehicles involving a plurality of land vehicles, e.g. fleet or convoy travelling
    • G05D1/0291—Fleet control
    • G05D1/0295—Fleet control by at least one leading vehicle of the fleet
    • 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
    • G05D1/02—Control of position or course in two dimensions
    • G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0255—Control of position or course in two dimensions specially adapted to land vehicles using acoustic signals, e.g. ultra-sonic singals
    • 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
    • G05D1/02—Control of position or course in two dimensions
    • G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0268—Control of position or course in two dimensions specially adapted to land vehicles using internal positioning means
    • 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
    • G05D1/0011—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot associated with a remote control arrangement
    • G05D1/0044—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot associated with a remote control arrangement by providing the operator with a computer generated representation of the environment of the vehicle, e.g. virtual reality, maps
    • 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
    • G05D1/0094—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot involving pointing a payload, e.g. camera, weapon, sensor, towards a fixed or moving target
    • 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
    • G05D1/10—Simultaneous control of position or course in three dimensions
    • 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
    • G06T7/00—Image analysis

Similar Documents

Publication Publication Date Title
Price et al. Deep neural network-based cooperative visual tracking through multiple micro aerial vehicles
US20220234733A1 (en) Aerial Vehicle Smart Landing
Shen et al. Vision-based state estimation for autonomous rotorcraft MAVs in complex environments
US12079011B2 (en) System and method for perceptive navigation of automated vehicles
Bachrach Autonomous flight in unstructured and unknown indoor environments
Achtelik et al. Autonomous navigation and exploration of a quadrotor helicopter in GPS-denied indoor environments
Ryan et al. An overview of emerging results in cooperative UAV control
Bacik et al. Autonomous flying with quadrocopter using fuzzy control and ArUco markers
Bachrach et al. RANGE–Robust autonomous navigation in GPS‐denied environments
Recchiuto et al. Post‐disaster assessment with unmanned aerial vehicles: A survey on practical implementations and research approaches
CN111474953B (en) Multi-dynamic-view-angle-coordinated aerial target identification method and system
Hoeller et al. Augmenting ultra-wideband localization with computer vision for accurate flight
Soundararaj et al. Autonomous indoor helicopter flight using a single onboard camera
Valenti et al. An autonomous flyer photographer
Mittal et al. Vision-based autonomous landing in catastrophe-struck environments
Wang et al. Optimizing ground vehicle tracking using unmanned aerial vehicle and embedded apriltag design
Mansouri et al. Autonomous mav navigation in underground mines using darkness contours detection
Ge et al. Vision-based relative detection and tracking for teams of micro aerial vehicles
Johnson Vision-assisted control of a hovering air vehicle in an indoor setting
Basit et al. Joint localization of pursuit quadcopters and target using monocular cues
Daftry et al. Semi-dense visual odometry for monocular navigation in cluttered environment
Kamat et al. A survey on autonomous navigation techniques
Kim et al. Detecting and localizing objects on an unmanned aerial system (uas) integrated with a mobile device
Rudol Increasing autonomy of unmanned aircraft systems through the use of imaging sensors
Meng et al. Arpico: Using pictures to build localization service for indoor iot applications