RaCOON
Financiado
Radar Classification Of Obstacles in Nature
Forests cover more than 40% of Europe’s surface and are essential for biodiversity, provide fresh water, absorb carbon and prevent
erosion. Yet they face detrimental effects of climate change, such as wildfires or outbreaks of the...
Forests cover more than 40% of Europe’s surface and are essential for biodiversity, provide fresh water, absorb carbon and prevent
erosion. Yet they face detrimental effects of climate change, such as wildfires or outbreaks of the bark beetle. The field of robotics
offers a pallet of tools to help manage and monitor forests, yet mainly by flying robots. Ground robots that could carry heavier
equipment and last longer struggle in vegetation since their autonomy systems have been developed for obstacle-free scenarios
(e.g., driving on roads). The research proposed here, Radar Classification Of Obstacles in Nature (RaCOON), aims to enable the
deployment of ground robots in forests by giving them the ability to decide which vegetation can be safely driven through. The
applicant will deploy a new sensor modality, i.e. radar, and develop a novel sensor fusion system that will classify vegetation into the
obstacle and non-obstacle categories. This additional information will allow ground robots to autonomously plan trajectories and
navigate in vegetation. The problem will be approached first by exploring the possibilities of radars in a proof-of-concept experiment.
Then, a forest robotic dataset will be recorded in various types of vegetation. The experience from the proof-of-concept experiment
and the recorded data will motivate the design of the final sensor fusion system. The outcomes of RaCOON will be 1) dissemination of
the new system and dataset to the research community and professional networks, 2) training of the applicant in the deployment of
radars for mobile robots and 3) extending the applicant’s professional network and independent research capabilities, advancing him towards starting his own robust field robotics research group.
ver más
Duración del proyecto: 34 meses
Fecha Inicio: 2023-07-26
Fecha Fin: 2026-05-31
Fecha Fin: 2026-05-31
Línea de financiación: concedida
El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2023-07-26
Línea de financiación objetivo
El proyecto se financió a través de la siguiente ayuda:
HORIZON-MSCA-2022-PF-01-01:
MSCA Postdoctoral Fellowships 2022
Cerrada
hace 2 años
Presupuesto
El presupuesto total del proyecto asciende a
223K€
Líder del proyecto
OREBRO UNIVERSITY
No se ha especificado una descripción o un objeto social para esta compañía.
Perfil tecnológico
TRL
4-5
Perfil tecnológico
TRL
4-5