Deep Learning-Based Robust Optical Guidance for Hypersonic Platforms
This addresses guidance challenges for hypersonic platforms, but appears incremental as it builds on existing deep learning methods for image processing.
The paper tackles the problem of sensor-based guidance for long-range hypersonic platforms by encoding a stack of images into a deep network to bypass structural limitations of classical registration, showing relevance for bimodal scenes like snowy conditions.
Sensor-based guidance is required for long-range platforms. To bypass the structural limitation of classical registration on reference image framework, we offer in this paper to encode a stack of images of the scene into a deep network. Relying on a stack is showed to be relevant on bimodal scene (e.g. when the scene can or can not be snowy).