Tsukasa Ebisawa, Yusaku Aoki, Xu Han, Mina Shibasaki, Tetsuaki Baba, Kumiko Kushiyama and Akira Nakayasu
2024
In recent years, FPV drones have seen rapid growth as highly maneuverable and high-speed multicopters, particularly in competitive racing. The demand for FPV drone simulators has also increased, serving as both flight training tools and gaming products. High-fidelity FPV drone simulators powered by game engines are continuously being released, with Liftoff, DCL- The Game, and GlobeXplore being notable examples. However, achieving a truly realistic experience goes beyond sharp video representation. This research focuses on faithfully reproducing optical phenomena such as camera lens aberrations and motion blur, and creating a realistic environment based on 3D scan data. This approach aims to deliver a highly immersive experience that conventional simulators cannot replicate. It is anticipated that this research will offer valuable insights for real-world drone operations, improving situational awareness for pilots and introducing advanced strategic elements to drone racing.
International Conferences
Ebisawa, T., Aoki, Y., Han, X., Shibasaki, M., Baba, T., Kushiyama, K., and Nakayasu, A. Real FPV Drone Simulator with 3D Scan Data and Visual Effects. In SIGGRAPH 2024 Posters, ACM.
https://doi.org/10.1145/3641234.3671073 
Acknowledgments
Drone School Tokyo, for their contribution to drone handling. WHEE-project, for providing the 3D-scan data assets. MLIT and G-spatial Information Center, for their provision of the Project PLATEAU - 3D Urban Model of Tokyo’s 23 Wards (2020).
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