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PercEvite - Sense and avoid technology for small drones

Deliverables

Detection other vehicles

Deliverable 1.2 involves the developed methods for detecting and localizing other air vehicles. The deliverable consists of a report describing the methods and their implementation on the platforms. A link to the public code repository will also be provided.

Mini-CAP & micro-CAP

The deliverable 3.1 consists of two electronics packages: a “mini-CAP” (strive-weight 150 grams) and “micro-CAP” (strive-weight 50 grams).

Symposium

Deliverable 6.1 is a symposium organized in Delft that will bring together various groups of stakeholders in the drone domain, in order to address the challenges in the area of collision avoidance and communicate the results of the project.

Multi-technology communication

Deliverable 2.1 is a multi-technology communication device with corresponding software, which incorporates WiFi, ADSB, and 4G technology to cover an almost full range of communication means.

Final activity report

Deliverable 5.2 is the final activity report – summarizing the activities and results of the entire project.

Project Management Plan

The PMP shall complement the project information provided in the Grant Agreement (GA) Annex 1 (Description of Action), by providing the detailed information that will be required for the project to be fully organized, so that the project objectives can be met on budget and on time, while ensuring that H2020 adn SEASR 2020 Explanatory Research guidelines will be correctly applied.

Report tests WP4.4-4.6

Report on the experimental setup and results of the experiments performed in WP 4.4-4.6.

Report tests WP4.2-4.3

Report on the experimental setup and results of the experiments performed in WP 4.2-4.3.

Business cases

Deliverable 6.3 consists of two reports: ParrotAR will deliver a brief (1-4 pages) prospectus on how they would likely exploit the results of the PercEvite project and the developed CAPs in particular.

Context aware communication

Deliverable D2.2 consists of a report about the methods for multi-antenna angle-of-arrival estimation of incoming signals and context aware communication software. A link to a public code repository will be included in the report.

Demonstration

Deliverable 6.2 is a demonstration of the final developed system. In the demonstration, multiple drones should avoid each other and static obstacles in a (semi-)outdoor scenario.

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Publications

UAV Location Broadcasting with Wi-Fi SSID

Author(s): Franco Minucci, Evgenii Vinogradov, Hazem Sallouha, Sofie Pollin
Published in: 2019 Wireless Days (WD), 2019, Page(s) 1-8
DOI: 10.1109/wd.2019.8734208

Energy-Constrained UAV Trajectory Design for Ground Node Localization

Author(s): Hazem Sallouha, Mohammad Mahdi Azari, Sofie Pollin
Published in: 2018 IEEE Global Communications Conference (GLOBECOM), 2018, Page(s) 1-7
DOI: 10.1109/glocom.2018.8647530

Simulation and Detection Performance Evaluation of a UAV-mounted Passive Radar

Author(s): Evgenii Vinogradov, Dmitry A. Kovalev, Sofie Pollin
Published in: 2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 2018, Page(s) 1185-1191
DOI: 10.1109/pimrc.2018.8580940

Fusion of stereo and still monocular depth estimates in a self-supervised learning context

Author(s): Martins, D., Van Hecke, K., & De Croon, G.
Published in: IEEE International Conference on Robotics and Automation (ICRA), 2018, Page(s) 849-856

Tutorial on UAVs: A Blue Sky View onWireless Communication

Author(s): Evgenii Vinogradov, Hazem Sallouha, Sibren De Bast, Mohammad Mahdi Azari, Sofie Pollin
Published in: Journal of Mobile Multimedia, Issue 14/4, 2018, Page(s) 395-468, ISSN 1550-4646
DOI: 10.13052/jmm1550-4646.1443

Wireless Communications with Unmanned Aerial Vehicles

Author(s): Evgenii Vinogradov, Sofie Pollin
Published in: The 53rd IEEE International Conference on Communications (ICC), 2019
DOI: 10.13140/rg.2.2.15185.38249