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Vision-In-Flight SIGNED

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

Total Cost €

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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.

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

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

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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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