Autonomous driving paper index

Synchronizing aeronautical Digital Twins in complex stakeholder environments via 3D scanning

2026-07-10 · CEAS Aeronautical Journal

autonomous drivingplanning

One-line summary

Abstract Digitalization in the aviation industry is driving the transition towards climate-neutral and more sustainable aircraft.

Engineering notes

Key topics: autonomous driving, planning. See the paper for implementation details and experimental results.

Chinese explanation / 中文解读

中文解读待补充:本站会优先为端到端自动驾驶、BEV感知、3D目标检测、轨迹预测、路径规划、LiDAR感知等高价值论文补充中文说明。

Original abstract

Abstract Digitalization in the aviation industry is driving the transition towards climate-neutral and more sustainable aircraft. A central focus of research is the Digital Twin, a virtual representation of the physical system that continuously collects operational data during operation in order to increase efficiency and optimize maintenance. A challenge arises when different stakeholders such as manufacturers, airlines and maintenance companies create independent Digital Twins, which leads to inconsistencies and contradicts the very idea of a single Digital Twin per system. Isolated IT environments prevent the possible synchronization of information. One approach to synchronizing geometric data is the use of 3D scans. As aircraft cabins are frequently refitted, digital 3D models are often incomplete, if they are available at all. By comparing scans with the initial Digital Twin, modifications can be recorded and updated even if no original data is available. This enables precise documentation of the cabin interior and facilitates the iterative updating of the Digital Twin, which supports the planning and analysis of conversions as well as versioning of modifications.

5.0Engineering value
7.0Research novelty
5.0Business relevance

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