Area reconnaissance with heterogeneous groups of autonomous systems

I. Tchouchenkov; F. Segor; A. Buller; M. Kollmann

doi:10.1117/12.2680142

17 October 2023 Area reconnaissance with heterogeneous groups of autonomous systems

I. Tchouchenkov, F. Segor, A. Buller, M. Kollmann

Proceedings Volume 12740, Emerging Imaging and Sensing Technologies for Security and Defence VIII; 1274003 (2023) https://doi.org/10.1117/12.2680142
Event: SPIE Security + Defence, 2023, Amsterdam, Netherlands

Abstract

In the last years Unmanned Vehicles for different environments (UxVs) have been recognized as relevant game changers and key technologies for a wide range of military and civilian applications. Even parallel deployment of heterogeneous autonomous assets as swarms or cooperating teams is no longer science fiction, but a realistic operational scenario. Their effectiveness can be significantly increased by optimization of number, capabilities and application strategy of assigned assets, particularly in time-critical tasks (e.g. the search for missing persons, disaster relief and modern warfare operations). Especially, the movements of the vehicles must be carefully managed. However, the use of small UxVs is often accompanied by limitations like short mission time and limited sensor coverage, which in turn can be compensated by the intelligent assignment of vehicles with increased autonomy in cooperating groups. An important basis for efficient and effective autonomous reconnaissance, especially in swarming or teaming scenarios, is movement optimization considering the capabilities of the heterogeneous vehicles equipped with different sensor systems operating in a combined mission. For this purpose, algorithms have been developed at Fraunhofer IOSB that enable appropriate planning and dynamic processing in very different situations for heterogeneous groups of cooperating vehicles. In the following, two exploration methods for reconnaissance missions are described in more detail and their possibilities are discussed and compared.

Conference Presentation

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

I. Tchouchenkov, F. Segor, A. Buller, and M. Kollmann "Area reconnaissance with heterogeneous groups of autonomous systems", Proc. SPIE 12740, Emerging Imaging and Sensing Technologies for Security and Defence VIII, 1274003 (17 October 2023); https://doi.org/10.1117/12.2680142

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