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PercEvite - Sense and avoid technology for small drones

Project information

Grant agreement ID: 763702

Status

Ongoing project

  • Start date

    1 September 2017

  • End date

    31 August 2020

Funded under:

H2020-EU.3.4.7.

  • Overall budget:

    € 899 007,50

  • EU contribution

    € 899 007,50

Coordinated by:

TECHNISCHE UNIVERSITEIT DELFT

Netherlands

Objective

We will develop a sensor, communication, and processing suite for small drones for autonomously detecting and avoiding “ground-based” obstacles and flying objects.
To avoid ground-based obstacles, we aim for a lightweight, energy-efficient sensor and processing package that maximizes payload capacity. Self-supervised learning will allow for a breakthrough in perception range. This will enable effective fusion of stereo vision, motion, appearance, ranging and audio information. Our learning process will allow obstacle detection as far as the camera ‘sees’, rather than the current ± 30 m. For close distances, our solution does without energy expensive active sensors such as lasers or sonar.
For collaborative avoidance between drones and other air vehicles, we achieve an interoperable solution by combining multiple communication hardware types (ADSB, 4/5G, WiFi) to exchange information on position, speed, and future waypoints. This will enable drones to successfully avoid other flying vehicles even in a very densely used air space. The probability for a collision in a collaborative scenario will be in the order of 10-9.
For non-collaborative avoidance, we rely on sensors and even the communication hardware mentioned above. If a non-collaborative aircraft emits communication signals, for instance to a ground station, this hardware allows to retrieve angular measurements. These measurements can be fused with detection and angle estimations performed with multiple tiny microphones and cameras on board of the detecting drone. We estimate the collision probability in a non-collaborative scenario as 10-6.
These performances will be assessed by simulations and extensive real-world tests. The consortium will benefit from the partners’ academic and industrial background with expertise in autonomous flight of very light-weight drones, robust wireless communication, drone design, production, and operation to realize a commercially viable platform.

Coordinator

TECHNISCHE UNIVERSITEIT DELFT

Address

Stevinweg 1
2628 Cn Delft

Netherlands

Activity type

Higher or Secondary Education Establishments

EU Contribution

€ 304 888,75

Participants (3)

KATHOLIEKE UNIVERSITEIT LEUVEN

Belgium

EU Contribution

€ 246 912,50

AEROVINCI BV

Netherlands

EU Contribution

€ 175 500

PARROT DRONES

France

EU Contribution

€ 171 706,25

Project information

Grant agreement ID: 763702

Status

Ongoing project

  • Start date

    1 September 2017

  • End date

    31 August 2020

Funded under:

H2020-EU.3.4.7.

  • Overall budget:

    € 899 007,50

  • EU contribution

    € 899 007,50

Coordinated by:

TECHNISCHE UNIVERSITEIT DELFT

Netherlands