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Vision-In-Flight SIGNED

Neuromechanics of Insect Vision during Aerial Interactions with Applications in Visually Guided Systems

Total Cost €

0

EC-Contrib. €

0

Partnership

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 Vision-In-Flight project word cloud

Explore the words cloud of the Vision-In-Flight project. It provides you a very rough idea of what is the project "Vision-In-Flight" about.

ultralight    autonomous    behaving    relatively    flight    fastest    neural    simultaneously    visual    informs    connectomics    robotic    electrophysiology    record    directed    aerial    vision    insect    sensors    optics    first    input    telemetry    breakthrough    visually    elucidated    biological    circuitries    animals    operates    object    virtual    psychophysics    enabled    modern    benefits    tracking    capture    motion    wireless    techniques    manoeuvres    signals    tactical    unmanned    machine    courier    advancing    erc    flying    experiments    gaze    insects    direct    budded    compound    fundamental    influence    era    ideal    accommodate    investigates    cars    guidance    nervous    biology    motor    taxi    extract    lessons    look    computational    sometimes    free    model    limited    stabilization    eyes    revolutionize    self    surpass    interactions    utilize    fixed    reveal    upcoming    image    suit    guided    precision    driving    learning    successful    additional   

Project "Vision-In-Flight" data sheet

The following table provides information about the project.

Coordinator
IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE 

Organization address
address: SOUTH KENSINGTON CAMPUS EXHIBITION ROAD
city: LONDON
postcode: SW7 2AZ
website: http://www.imperial.ac.uk/

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Total cost 1˙499˙968 €
 EC max contribution 1˙499˙968 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2018-STG
 Funding Scheme ERC-STG
 Starting year 2018
 Duration (year-month-day) from 2018-11-01   to  2023-10-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE UK (LONDON) coordinator 1˙499˙968.00

Map

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 Project objective

This project investigates how biological vision operates under the fastest and most challenging motion condition: flight. Specifically, we look beyond gaze stabilization and focus on directed gaze control such as object tracking. Flying insects are ideal model for studying vision in flight due to its relatively simple nervous system and the fixed optics of the compound eyes. Insect vision has elucidated fundamental circuitries of vision via psychophysics, electrophysiology, computational modelling, and connectomics. However, we have limited knowledge on how insects use vision in free flight and what visual signals influence motor control during aerial interactions. This study aims to reveal how flying insects direct their gaze in-flight to extract target information for guidance and to facilitate the execution of complex flight manoeuvres. To achieve this objective, we will advance three emerging techniques: 1) high-precision insect scale motion capture; 2) ultralight wireless neural telemetry; 3) virtual reality for freely flying insects. I was involved in developing the first two methods and they both still require significant development to suit this project. The third budded from a successful ERC project, which enabled virtual reality experiments with freely behaving animals, and also requires additional breakthrough in order to accommodate this project. By advancing these techniques together, we can fully control the visual input of a freely flying insect and simultaneously record relevant visual signals. While modern image sensors and image processing can sometimes surpass biological vision, machine vision systems today still cannot utilize some tactical benefits of directed gaze control. Indeed, learning how to look is one of the best lessons a visually guided system can take from biology. This research informs the control of autonomous systems such as self-driving cars, unmanned aerial taxi, and robotic courier which will revolutionize the upcoming era.

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The information about "VISION-IN-FLIGHT" are provided by the European Opendata Portal: CORDIS opendata.

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