Thanapat Munmanothum,Worawat Choensawat,Kingkarn Sookhanaphibarn

This paper presents an enhancement method to improve the immersive degree of an aircraft recognition training project. The project is to train people for recognizing an aircraft and identifying its model, and the project runs on a virtual reality system to train people in a real situation such as aircraft flying (speed, height, distance to an observer) and varying environment (day time, weather). In the results, we present a comparison between the previous version and the enhancement version on the varying aircraft trajectories and the more realistic environments. The varying aircraft trajectories are developed by inserting a mathematical model. The more realistic environments are developed by using a real background of 360-degree camera.

https://ieeexplore.ieee.org/document/9754782

Munmanothum, T., Choensawat, W., & Sookhanaphibarn, K. (2022, March). Visual Representation Enhancement of Aircraft Recognition Training System in Virtual Reality. In 2022 IEEE 4th Global Conference on Life Sciences and Technologies (LifeTech) (pp. 542-543). IEEE.