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Real-Time Evaluation of Aircraft Instruments
Matthew Munson and Clark F. Olson In Advances in Visual Computing, Lecture Notes in Computer Science, Vol. 15047 (19th International Symposium on Visual Computing, Part II), pages 396-409, October, 2024. While digital displays and glass cockpits have become widespread in modern air-craft, analog instruments remain. These gauges can be challenging to digitize or integrate into automated safety systems. This work investigates the application of computer vision to evaluate aircraft instruments of varying complexity. For ease of acquisition, training data was recorded from a flight simulator and used to train neural networks. The resulting models have high accuracy when evaluating single pointer gauges in lighting conditions similar to the training data set, as well as with entirely different lighting conditions. Performance remains robust even with more complex instruments, such as dual pointer airspeed gauges and attitude in-dicators. Potential future work on this system includes applying it to real-life air-craft and integration with safety systems, including detection of instrument dis-play failures. |
