VISTA | Vision-based Inspection Systems for automated Testing of Aircraft interiors

Summary
The VISTA project aims to post-assembly testing of aircraft interior installations in both cabin and cargo units in order to ensure quality and reliability of located components. This goal will be pursued by the development and implementation of a multi-sensor platform and sensor processing algorithms, integrating on-board a mobile system and an interface for data transmission, able to provide efficient automated testing and quality reports. In detail, multiple optical devices, including 3D LIDAR, omnidirectional laser profilometers, RGB-D, and (stereo) vision sensors, integrated with on-board image processing hardware, will be tested for the 3D modelling of the aircraft interior. In addition, the sensor suite will include line scan cameras for colour inspection of surface quality. All sensors will be integrated on an automated guided vehicle (AGV) that will collect and store sensor measurements, while traversing both cabin and cargo areas. The collection of full 3D models, i.e. 3D models augmented with metadata, such as colour, material and texture, will feed high-level algorithms that will automatically determine tolerances of the components with respect to positioning, gap and flush, and assess surface quality in terms of texture, colour, and defects. An interface for data transmission will be developed and tested for visualization and documentation, which will be made available to the human operators via suitable interfaces based on Augmented Reality (AR).
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More information & hyperlinks
Web resources: https://cordis.europa.eu/project/id/785410
Start date: 01-02-2018
End date: 31-01-2021
Total budget - Public funding: 1 196 250,00 Euro - 987 375,00 Euro
Cordis data

Original description

The VISTA project aims to post-assembly testing of aircraft interior installations in both cabin and cargo units in order to ensure quality and reliability of located components. This goal will be pursued by the development and implementation of a multi-sensor platform and sensor processing algorithms, integrating on-board a mobile system and an interface for data transmission, able to provide efficient automated testing and quality reports. In detail, multiple optical devices, including 3D LIDAR, omnidirectional laser profilometers, RGB-D, and (stereo) vision sensors, integrated with on-board image processing hardware, will be tested for the 3D modelling of the aircraft interior. In addition, the sensor suite will include line scan cameras for colour inspection of surface quality. All sensors will be integrated on an automated guided vehicle (AGV) that will collect and store sensor measurements, while traversing both cabin and cargo areas. The collection of full 3D models, i.e. 3D models augmented with metadata, such as colour, material and texture, will feed high-level algorithms that will automatically determine tolerances of the components with respect to positioning, gap and flush, and assess surface quality in terms of texture, colour, and defects. An interface for data transmission will be developed and tested for visualization and documentation, which will be made available to the human operators via suitable interfaces based on Augmented Reality (AR).

Status

CLOSED

Call topic

JTI-CS2-2017-CFP06-LPA-02-21

Update Date

26-10-2022
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Horizon 2020
H2020-EU.3. SOCIETAL CHALLENGES
H2020-EU.3.4. SOCIETAL CHALLENGES - Smart, Green And Integrated Transport
H2020-EU.3.4.5. CLEANSKY2
H2020-EU.3.4.5.1. IADP Large Passenger Aircraft
H2020-CS2-CFP06-2017-01
JTI-CS2-2017-CFP06-LPA-02-21 Development of systems for automated testing in the aircraft interior