Joint project ISEKIS

  Flying quadrocopter in an outdoor area Copyright: © IRT

Intelligent system for verification, documentation as well as detection of error conditions in AI-based control of drones

01/08/2023

Key Info

Basic Information

Duration:
01.08.2023 to 30.07.2026
Acronym:
ISEKIS
Group:
Navigation
Funding:
BMDV

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+49 241 80-28014

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Motivation

In a world that is moving inexorably towards increasing automation, unmanned aerial systems, also known as drones, open up enormous potential for carrying out fully autonomous missions in the field of aviation.

The prospect of autonomous drone flights promises numerous potential applications and efficiency gains, but also poses a number of as yet unresolved technical challenges. In particular, the correct and reliable calculation of one's own position and the traceability of AI-based control decisions are currently still unsolved problems that hinder the widespread implementation of autonomous and automated drone flights, especially in safety-critical scenarios.

The ISEKIS project addresses this problem by developing robust and integrity-based navigation for drones. At the same time, the decision-making process of AI-based control systems is documented and thus made comprehensible. In this way, the project is making a significant contribution to overcoming the hurdles on the way to safe and efficient autonomous drone flights.

 

Project Goals and Methods

Sponsoredby the Federal Ministry for Digital and Transport Affairs as part of the mFUND innovation initiative.

As part of the ISEKIS project, IRT is developing an integrity-based condition assessment and mission planning system for the automated operation of unmanned aerial systems, called UAS. The main objective is the precise calculation of the current flight status and the assessment of its reliability. This is achieved by applying confidence intervals to the estimated position to infer a guaranteed loiter zone. The project involves the further development of state-of-the-art integrity algorithms and the adaptation of formal methods for inferring guaranteed state estimates that satisfy real-time constraints. This enables online adaptation of mission planning to ensure compliance with no-fly zones, even in the case of sensor errors.

 

Innovations and Perspectives

Logo mFUND Sponsoredby the Federal Ministry for Digital and Transport Affairs as part of the mFUND innovation initiative.

The ISEKIS project aims to develop innovative solutions for the safe and autonomous operation of unmanned aerial systems (UAS). This progress does not only contribute to environmental and economic development, but also enables the safe and efficient use of UAS in various applications. These include the inspection of infrastructure such as power lines and pipelines, environmental monitoring, agricultural surveillance and rescue operations.

ISEKIS thus offers innovative perspectives for autonomous UAS operations that also meet regulatory requirements. This promotes acceptance and opens up the full potential of artificial intelligence and data analysis in aviation. The project contributes directly to the AI strategy of the Federal Ministry for Digital and Transport, called BMDV.

 
Project partner Associated partner
MGL - Airport Mönchengladbach