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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.

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

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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