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Delft Dynamics Holding B.V.

An innovative, high tech company founded in The Netherlands is looking for a partner for Call: Research actions (technological challenge) through lump sum grants following the call for proposals

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Last update: Aug 12, 2022 Last update: Aug 12, 2022

Details

Deadline: Nov 24, 2022
Project locations: EU 27 EU 27
Sectors: Security, Science & Innovation, Research Security, Science & Innovation, Research
Partner types: Consulting Organization, NGO, Other, Supplier Consulting Organization, NGO, Other, Supplier
Partner locations: EU 27, Anguilla, Aruba, Bermuda, British Virgin Islands, Caribbean Netherlands, Cayman Islands, Falkland Islands, French Polynesia, French Southern Territory, Greenland, Iceland, Liechtenstein, Montserrat, New Caledonia, Norway, Pitcairn, Saint Helena, St. Pierre and Miquelon, Turks and Caicos, Wallis and Futuna EU 27, Anguilla, Aruba, Bermuda, British Virgin Islands, Caribbean Netherlands, Cayman Islands, Falkland Islan ... See more

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Description

We work since 2006 on R&D drone-developments in national and international projects (H2020/EDIDP/EDF). We do have a lot of experience on the integration of a variety of sensors and completely develop our drones in-house. We also developed a tether system which can be used for unlimited flight-time. We've also developed DroneBoxes which can be integrated into vehicles (like our own pick-up) for starting & landing and safe transport. 

Unmanned ground and aerial systems for hidden threats detection – Participation to a technological challenge

TOPIC ID: EDF-2022-LS-RA-CHALLENGE-DIGIT-HTDP

Programme: European Defence Fund
Work programme part: EDF-2022
Call: Research actions (technological challenge) through lump sum grants following the call for proposals (EDF-2022-LS-RA-CHALLENGE)

Topic description

Objective:
Improvised explosive devices (IEDs) and landmines are a significant threat to military personnel, civilians and equipment, and a major cause of casualties for European forces during operations. Countering these hidden threats is essential to protect soldiers, reduce loss of equipment, secure critical logistic activities, improve mobility and freedom to act by increasing the security of operation areas, and more generally enhance operational efficiency. Furthermore, in a hybrid warfare context, these threats are increasingly used against civilian populations. In particular, they have the potential to severely disrupt both military and civilian supply chains, damage critical infrastructures and affect strategic lines of communication.

Detecting these hidden threats is a first essential step to counter them. Since they are by design difficult to detect for humans, automatic detection technologies can play an important role. However, the task is intrinsically difficult, and the performance of existing technologies is still far from answering the needs. Scenarios classically encountered by armed forces in past missions such as route clearance already represent a challenge. In addition, IEDs are increasingly used in urban scenarios where the detection is even more difficult, especially if multiple IEDs emplacements are used. There is a need to enhance detection technologies, especially for scenarios where single detection devices are not sufficient and the use of distributed sensors is deemed useful. There is also a need to determine their type (e.g., how they are triggered), in particular to ease their neutralisation (rendering safe, disabling or destroying).

While the above issues have been the subject of much research over many years, progress is hindered by the lack of standardised benchmarks, and there is a need to evaluate the performances of integrated functional demonstrators in an objective and comparable manner, using representative testing environments and well-defined metrics.

Overall progress in IED and landmine detection and characterisation can be driven by progress along several lines:

  • Physics-based sensors enhancement;
  • Collection of representative data, combined with various artificial intelligence (AI) techniques, e.g., computer vision for object detection and localisation;
  • Use of various sensors borne by a fleet of unmanned ground and aerial systems, combined with information fusion techniques;
  • Better exploitation of limited amounts of data and use of models that are easier to adapt to new environments (through innovative AI techniques such as learning methods requiring less supervision from expert developers, transfer learning…);
  • Multidisciplinary cooperation between the hardware sensors and AI communities.


Scope:
Scope and types of activities

Proposals should address technological solutions to detect and characterise IEDs and landmines in complex environments, using a combination of advanced sensors, information fusion from these sensors, and unmanned ground and aerial systems to extend the detection capabilities. These solutions should be evaluable through the testing environment set up in the framework of the technological challenge.

Proposals should include clear descriptions of criteria to assess work package completion. Criteria should include the participation to the test campaigns organised in the framework of the technological challenge, the delivery of sensor data collected during the field tests, and the delivery of descriptions of the systems submitted to the tests.

Please, find more information regarding the call here