High-fidelity Collaborative Perception for Small Unmanned Aerial Vehicles
SkEyes aims to enhance UAV swarm autonomy and perception by integrating diverse sensors for effective navigation in challenging environments, enabling timely responses to critical situations.
Projectdetails
Introduction
Over the past two decades, we witnessed impressive advancements in Robotics. Amongst the most disruptive developments was the demonstration of small Unmanned Aerial Vehicles (UAVs) equipped with onboard cameras conducting autonomous, vision-based flights without reliance on GPS. This sparked booming interest in a plethora of use-cases, such as automation of drone delivery, and infrastructure inspection and maintenance.
Technological Advancements
This led to the emergence of new algorithms, advanced sensors, as well as miniaturized, powerful chips, opening exciting opportunities for automating single- as well as multi-UAV navigation. Current solutions, however, lack greatly in robustness and generality, struggling to perform outside very controlled settings, with onboard perception constituting the biggest impediment.
Challenges in UAV Technology
Working in this area for over a decade, it is troubling that despite dramatic progress, we still lack the technology to enable a UAV swarm to autonomously scan the seas for refugee dinghies or forest areas for wildfires, and to provide help in such dire situations.
While, in principle, the core technology is the same across all use-cases, battling adverse conditions, such as:
- Wind
- Smoke
- Degraded illumination
render the latter use-cases extremely challenging as they are time-critical and cannot be postponed until favorable conditions arise.
Proposed Solutions
Employing some of the currently most promising sensors, such as lidar, and advanced depth, thermal, event, and visual cameras, SkEyes proposes to address fundamental research questions to understand how to process and combine these heterogeneous sensing cues onboard a swarm of small UAVs.
Goals and Objectives
The goal is to achieve joint spatial understanding and scene awareness for effective autonomy in highly dynamic and realistic scenarios. Engaging such eyes in the sky, the focus is on robust, collaborative perception to enable intelligent UAV swarm navigation exhibiting adaptability in completing a mission in challenging conditions, at the push of a button.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 2.346.219 |
Totale projectbegroting | € 2.346.219 |
Tijdlijn
Startdatum | 1-10-2023 |
Einddatum | 30-9-2028 |
Subsidiejaar | 2023 |
Partners & Locaties
Projectpartners
- UNIVERSITY OF CYPRUSpenvoerder
Land(en)
Vergelijkbare projecten binnen European Research Council
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Elucidating the phenotypic convergence of proliferation reduction under growth-induced pressureThe UnderPressure project aims to investigate how mechanical constraints from 3D crowding affect cell proliferation and signaling in various organisms, with potential applications in reducing cancer chemoresistance. | ERC STG | € 1.498.280 | 2022 | Details |
Uncovering the mechanisms of action of an antiviral bacteriumThis project aims to uncover the mechanisms behind Wolbachia's antiviral protection in insects and develop tools for studying symbiont gene function. | ERC STG | € 1.500.000 | 2023 | Details |
The Ethics of Loneliness and SociabilityThis project aims to develop a normative theory of loneliness by analyzing ethical responsibilities of individuals and societies to prevent and alleviate loneliness, establishing a new philosophical sub-field. | ERC STG | € 1.025.860 | 2023 | Details |
MANUNKIND: Determinants and Dynamics of Collaborative Exploitation
This project aims to develop a game theoretic framework to analyze the psychological and strategic dynamics of collaborative exploitation, informing policies to combat modern slavery.
Elucidating the phenotypic convergence of proliferation reduction under growth-induced pressure
The UnderPressure project aims to investigate how mechanical constraints from 3D crowding affect cell proliferation and signaling in various organisms, with potential applications in reducing cancer chemoresistance.
Uncovering the mechanisms of action of an antiviral bacterium
This project aims to uncover the mechanisms behind Wolbachia's antiviral protection in insects and develop tools for studying symbiont gene function.
The Ethics of Loneliness and Sociability
This project aims to develop a normative theory of loneliness by analyzing ethical responsibilities of individuals and societies to prevent and alleviate loneliness, establishing a new philosophical sub-field.
Vergelijkbare projecten uit andere regelingen
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Dynamical Recurrent Visual PerceiverThe project aims to develop DRVis, an algorithm that enhances computer vision tasks using low-resolution frames from moving cameras, targeting applications in smart agriculture and drone navigation. | ERC POC | € 150.000 | 2022 | Details |
GPS-free, beyond the visual line of sight navigation for logistics drones in urban environmentsSightec's platform enables autonomous navigation and inspection for drones using vision-based algorithms, allowing complex tasks without GPS, demonstrated through successful delivery flights. | EIC Accelerator | € 2.456.377 | 2022 | Details |
On the edge AI-driven Autonomous Inspection RobotsEnergy Robotics aims to develop an AI-driven software platform for mobile robots to autonomously perform inspections in dynamic industrial environments, enhancing operational efficiency across various sectors. | EIC Accelerator | € 2.499.999 | 2023 | Details |
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Dynamical Recurrent Visual Perceiver
The project aims to develop DRVis, an algorithm that enhances computer vision tasks using low-resolution frames from moving cameras, targeting applications in smart agriculture and drone navigation.
GPS-free, beyond the visual line of sight navigation for logistics drones in urban environments
Sightec's platform enables autonomous navigation and inspection for drones using vision-based algorithms, allowing complex tasks without GPS, demonstrated through successful delivery flights.
On the edge AI-driven Autonomous Inspection Robots
Energy Robotics aims to develop an AI-driven software platform for mobile robots to autonomously perform inspections in dynamic industrial environments, enhancing operational efficiency across various sectors.
Sparrow
Mapture.ai en BrainCreators ontwikkelen een privacyveilige drone-oplossing voor het automatisch surveilleren van grote gebieden, waarbij verdachte situaties geautomatiseerd worden herkend en gefilterd.