Jul 2026· European Conference on Artificial Intelligence· pp. 1-8· 0 citations· 21 references
Abstract
Aircraft telemetry systems generate large volumes of rapidly changing flight data that are commonly presented through numerical dashboards and two dimensional monitoring interfaces. Although these systems provide access to raw telemetry information, operators may experience difficulty interpreting complex parameter relationships during real time missions, potentially reducing situational awareness and delaying abnormal condition recognition. This paper presents a real time 3D aircraft telemetry visualization platform that transforms live telemetry streams into an interactive spatial monitoring environment. The system visualizes aircraft 6DoF state, trajectory history, and control surface movements within a geospatial 3D environment. Abnormal or critical telemetry conditions are presented through HUD style interface overlays, presenting real time mission relevant information to assist operator monitoring activities during live operation. The proposed system is designed as a modular and extensible architecture that enables easy integration of different telemetry sources and supports adaptation to various mission specific requirements. To improve accessibility and reproducibility, the implementation uses openly available geospatial datasets, reducing dependence on commercial or restricted data sources.
Standard Instrument Departure (SID) procedures define the post-takeoff climb and route integration that pilots must execute with precision, yet current training relies on two-dimensional charts that force pilots to mentally reconstruct three-dimensional flight profiles—a cognitive transformation that increases error rates during complex departures and high-traffic operations. Existing full-motion flight simulators address this gap at prohibitive cost, while low-fidelity desktop trainers lack geospatially accurate terrain and procedural fidelity. This paper presents SID-Viz3D, an interactive 3D visualization and simulation framework built on Unity 3D with Cesium geospatial integration that transforms ICAO-compliant SID chart data—including waypoint coordinates, altitude constraints (AT, AT_OR_ABOVE, AT_OR_BELOW, BETWEEN), and waypoint types (FLY_BY/FLY_OVER)—into a real-coordinate briefing and flight environment. The system provides real-time three-axis deviation tracking (lateral, vertical, and course) against planned procedure profiles, creating a basis for future quantitative pilot performance measurement without full-simulator infrastructure. Preliminary validation on Narita International Airport (RJAA) Runway 34L/34R SID procedures demonstrates that the framework preserves ICAO PANS-OPS procedural semantics while supporting real-time interaction in the 3D simulation environment.
A. Bahar, Funda Ergün Yardim, M. Çelik· European Conference on Artif...· 0 citations
Telecommunications base-station towers support services that are indispensable to crisis communication, emergency response, public administration and economic continuity. Their dispersed location, height and lattice geometry make conventional close-access inspection hazardous, time-consuming and difficult to document consistently. This study evaluates the usefulness and limitations of uncrewed aircraft systems for inspecting steel lattice towers that form part of telecommunications critical infrastructure. A retrospective field study was conducted using records from inspections performed in 2022–2023 at 50 towers in three Polish provinces. More than 150 sorties were completed with a DJI Matrice 30T platform using optical zoom, thermal imaging, a laser rangefinder and georeferenced mission telemetry. Manual, column and spiral flight patterns were compared, while image sets were processed with photogrammetric software to support three-dimensional reconstruction and spatial localisation of defects. The observations show that uncrewed inspection is particularly effective for documenting coating damage, local corrosion, fastener deterioration, connection anomalies, snow or ice accretion and equipment requiring thermographic follow-up. Column flights generated the most detailed evidence but also the greatest processing burden; spiral flights were faster and better suited to screening and three-dimensional modelling. The study also identified important constraints: wind, battery endurance, vegetation, airspace restrictions, electromagnetic and navigation disturbances, and the need to protect sensitive infrastructure data. Uncrewed aircraft should therefore be treated as a risk-based screening and documentation tool integrated with engineering judgement and targeted close-contact or non-destructive testing, rather than as an unconditional replacement for statutory structural inspection.
Rafał Parczewski, Tomasz Balcerzak, S. Żurawski· Zeszyty Naukowe SGSP· 0 citations
The Mars Reconnaissance Orbiter (MRO) is uniquely qualified to meet objectives required by human missions to Mars. Landing site characterization capabilities include imaging for boulders and other terrain difficult for landing and/or driving, understanding soil properties for future construction, and locating resources such as subsurface ice deposits and caves. During the entry, descent, and landing phase, the Ultra High Frequency (UHF) radio can provide real-time data return, while several instruments can provide weather and atmospheric density information. The high-resolution imager can capture photos of a vehicle mid-descent and after touchdown. These capabilities could prove vital for determining the root cause after an anomaly. Once human presence on Mars is established, the UHF radio can provide positioning information, relay data from equipment placed outside of direct communication with the landing site, and serve as a backup voice communication system during extravehicular activities. Other MRO capabilities include creating stereo maps for extravehicular route planning, dust storm prediction and monitoring, atmospheric density measurements for aerobraking, improvement of spacecraft ephemerides to assist with precisely targeted landings, and finding lost hardware in orbit and on the ground. MRO remains healthy and retains sufficient fuel to operate until 2038.
P. Fieseler, M. Shihabi, A. Kleinböhl et al.· Journal of Spacecraft and Ro...· 0 citations
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.
Fiete Rauscher, Mara Fuchs, J. Biedermann et al.· CEAS Aeronautical Journal· 0 citations
This paper presents a comprehensive review of how Mixed Reality (MR) systems can enhance space mission operations by combining real-time telemetry data, Computer-Aided Design (CAD)-based Three-Dimensional (3D) modeling, and Artificial Intelligence (AI).These technologies offer immersive platforms for decision-making, anomaly detection, and predictive analysis of space missions for example, through Long Short-Term Memory (LSTM) networks for time-series predictive maintenance. MR platforms provide immersive and interactive environments that enhances situational awareness, anomaly detection, and decision-making across different phases of space missions. MR hardware, such as Microsoft HoloLens and Varjo XR-4, enables astronauts and ground crews to collaborate with virtual spacecraft models superimposed with telemetry data, enabling real-time troubleshooting and collaborative decision-making. The review paper further investigates Artificial Intelligence and Machine Learning (AI/ML) integration in context-aware guidance, highlighting the importance of edge-cloud architectures formalized as two-tier Decision Support System (DSS) for achieving low latency constraints, system integration complexity, and secure collaboration. The review also examines the use of virtual modeling software to create detailed 3D spacecraft models for simulation and mission planning, thereby improving operational precision and risk assessment. Challenges and existing limitations are discussed along with proposed solutions. Finally, the paper highlights emerging trends in MR hardware and AI innovation, outlining their potential as promising developments that could enable new functionalities in future missions, by improving space operations through greater safety, efficiency, and collaboration. The transformative potential of MR is highlighted throughout this review at all stages of the space operations timeline, including pre-launch and launch planning, in-mission execution, and astronaut training.
Abstract. UAS photogrammetry has become an efficient solution for acquiring high-resolution geospatial data for urban mapping, environmental monitoring, and 3D modelling. However, mission planning still involves a trade-off between data quality and operational efficiency, particularly regarding flight altitude, which directly affects ground sample distance (GSD), point cloud density, and positional accuracy. This study evaluates the influence of flight altitude through a controlled comparison of two urban photogrammetric surveys: a low-altitude flight at 61.2 m (GSD = 1.56 cm/pix, 420 images) and a higher-altitude flight at 121 m (GSD = 3.11 cm/pix, 116 images). Both surveys used RGB cameras with equivalent image resolution mounted on different platforms, which constitutes an experimental limitation, while overlap and processing parameters were kept constant. The results show that the lower-altitude flight produced denser data and better geometric performance, with lower reprojection error and lower check point RMSE. In contrast, the higher-altitude flight provided greater operational efficiency, covering a larger area with fewer images and lower computational demand. These findings indicate that both strategies are technically viable but suited to different objectives: lower altitudes favour geometric detail and positional accuracy, whereas higher altitudes improve productivity and area coverage. Therefore, flight altitude should be selected according to project requirements, balancing geometric quality and operational efficiency.
Emanuel Amorim, Diogo Inojosa, Jailson Rodrigues Júnior et al.· The International Archives o...· 0 citations