AIMC Topic: Aircraft

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Lightweight convolutional neural network for aircraft small target real-time detection in Airport videos in complex scenes.

Scientific reports
Airport aircraft identification has essential application value in conflict early warning, anti-runway foreign body intrusion, remote command, etc. The scene video images have problems such as small aircraft targets and mutual occlusion due to the ex...

Fatal injuries due to direct helicopter propeller strike.

Forensic science, medicine, and pathology
During a helicopter exercise, due to the scarce visibility caused by the presence of snow, a collision between a landing helicopter and one already on the ground occurred. The 40-year-old pilot of the already landed aircraft was killed as a result of...

Defects Recognition Algorithm Development from Visual UAV Inspections.

Sensors (Basel, Switzerland)
Aircraft maintenance plays a key role in the safety of air transport. One of its most significant procedures is the visual inspection of the aircraft skin for defects. This is mainly carried out manually and involves a high skilled human walking arou...

AG600 Amphibious Aircraft Selection Model Based on Improved Fuzzy Evaluation Algorithm.

Computational intelligence and neuroscience
Aiming at the selection research gap of AG600 amphibious aircraft for salvage of life at sea, the selection index system of AG600 has been established, and an interval intuitionistic fuzzy selection decision model based on fuzzy entropy and score fun...

Deep Neural Network Recognition of Rivet Joint Defects in Aircraft Products.

Sensors (Basel, Switzerland)
The mathematical statement of the problem of recognizing rivet joint defects in aircraft products is given. A computational method for the recognition of rivet joint defects in aircraft equipment based on video images of aircraft joints has been prop...

Mobile Robots for In-Process Monitoring of Aircraft Systems Assemblies.

Sensors (Basel, Switzerland)
Currently, systems installed on large-scale aerospace structures are manually equipped by trained operators. To improve current methods, an automated system that ensures quality control and process adherence could be used. This work presents a mobile...

Aircraft Image Recognition Network Based on Hybrid Attention Mechanism.

Computational intelligence and neuroscience
With the deepening of deep learning research, progress has been made in artificial intelligence. In the process of aircraft classification, the precision rate of aircraft picture recognition based on traditional methods is low due to various types of...

Facilitating the Work of Unmanned Aerial Vehicle Operators Using Artificial Intelligence: An Intelligent Filter for Command-and-Control Maps to Reduce Cognitive Workload.

Human factors
OBJECTIVE: Evaluating the ability of a Gibsonian-inspired artificial intelligence (AI) algorithm to reduce the cognitive workloads of military Unmanned Aerial Vehicle (UAV) operators.

Data-Driven Fault Diagnosis Techniques: Non-Linear Directional Residual vs. Machine-Learning-Based Methods.

Sensors (Basel, Switzerland)
Linear dependence of variables is a commonly used assumption in most diagnostic systems for which many robust methodologies have been developed over the years. In case the system nonlinearities are relevant, fault diagnosis methods, relying on the as...

Modified Artificial Potential Field for the Path Planning of Aircraft Swarms in Three-Dimensional Environments.

Sensors (Basel, Switzerland)
Path planning techniques are of major importance for the motion of autonomous systems. In addition, the chosen path, safety, and computational burden are essential for ensuring the successful application of such strategies in the presence of obstacle...