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Conference Paper
Simulation Design for Learning Data Collection to Estimate UAM Location in GNSS-Denied using 3D Spatial Information
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- Authors
- HyeonJoong Wi, Insung Jang, Sang Gi Hong
- Issue Date
- 2024-07
- Citation
- International Conference on Ubiquitous and Future Networks (ICUFN) 2024, pp.541-543
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- We propose a simulation framework to collect training data that enhances urban air mobility location estimation in GNSS-denied environments. Leveraging a 3D engine to accurately replicate urban environments, the simulation uses tile indexing for spatial information management. We aim to provide training datasets that include visual information for visual odometry and spatial properties for spatial analysis. This encompasses not only building models and aerial photographs for realistic navigation scenes but also attributes essential for constructing spatial analysis data, including building bounding boxes, addresses, and intricate geometric details.
- KSP Keywords
- 3D engine, 3D spatial, Aerial photographs, Bounding Box, Data Collection, Design for learning, Information Management, Learning data, Location Estimation, Simulation framework, Urban air