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

Rodríguez-Gómez et al., 2021 - Google Patents

The GRIFFIN perception dataset: Bridging the gap between flapping-wing flight and robotic perception

Rodríguez-Gómez et al., 2021

View PDF
Document ID
13919598629814071525
Author
Rodríguez-Gómez J
Tapia R
Paneque J
Grau P
Eguíluz A
Martínez-de Dios J
Ollero A
Publication year
Publication venue
IEEE Robotics and Automation Letters

External Links

Snippet

The development of automatic perception systems and techniques for bio-inspired flapping- wing robots is severely hampered by the high technical complexity of these platforms and the installation of onboard sensors and electronics. Besides, flapping-wing robot perception …
Continue reading at arxiv.org (PDF) (other versions)

Classifications

    • BPERFORMING OPERATIONS; TRANSPORTING
    • B64AIRCRAFT; AVIATION; COSMONAUTICS
    • B64CAEROPLANES; HELICOPTERS
    • B64C2201/00Unmanned aerial vehicles; Equipment therefor
    • B64C2201/16Unmanned aerial vehicles; Equipment therefor characterised by type of propulsion unit
    • B64C2201/165Unmanned aerial vehicles; Equipment therefor characterised by type of propulsion unit using unducted propellers
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
    • G05D1/0011Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot associated with a remote control arrangement
    • G05D1/0044Control 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

Similar Documents

Publication Publication Date Title
Rodríguez-Gómez et al. The GRIFFIN perception dataset: Bridging the gap between flapping-wing flight and robotic perception
Yao et al. Monocular vision-based human following on miniature robotic blimp
JP6585673B2 (en) Aircraft attitude control method
JP6207746B2 (en) Aircraft attitude control method and apparatus
WO2018053861A1 (en) Methods and system for vision-based landing
CN104828256A (en) Intelligent multi-mode flying shooting equipment and flying control method thereof
CN108351653A (en) System and method for UAV flight controls
CN204697171U (en) A kind of intelligent multi-control flight capture apparatus
CN114200471B (en) Forest fire source detection system and method based on unmanned aerial vehicle, storage medium and equipment
CN114488848B (en) Unmanned aerial vehicle autonomous flight system and simulation experiment platform for indoor building space
CN110498039A (en) A kind of intelligent monitor system based on bionic flapping-wing flying vehicle
US12078507B2 (en) Route planning for a ground vehicle through unfamiliar terrain
Sabo et al. Bio-inspired visual navigation for a quadcopter using optic flow
Su et al. Catching a flying ball with a vision-based quadrotor
Eguíluz et al. Towards flapping wing robot visual perception: Opportunities and challenges
Bartholomew et al. Learning to predict obstacle aerodynamics from depth images for micro air vehicles
Moldagalieva et al. Virtual omnidirectional perception for downwash prediction within a team of nano multirotors flying in close proximity
Zenkin et al. Quadcopter simulation model for research of monitoring tasks
Phang et al. Autonomous tracking and landing on moving ground vehicle with multi-rotor UAV
Rudol Increasing autonomy of unmanned aircraft systems through the use of imaging sensors
Zamudio et al. Vision based stabilization of a quadrotor using nested saturation control approach
Karjalainen et al. A DRONE SYSTEM FOR AUTONOMOUS MAPPING FLIGHTS INSIDE A FOREST–A FEASIBILITY STUDY AND FIRST RESULTS
McArthur Design of an Autonomous Unmanned Aerial Vehicle for Physical Interaction with the Environment
Zamudio et al. Stabilization of a helicopter using optical flow
Zufferey et al. Near-obstacle flight with small UAVs