SpatialFly: Implicit 3D Prior-Guided Visual Reparameterization for Continuous UAV Vision-and-Language Navigation
arXiv:2603.21046v2 Announce Type: replace-cross Abstract: UAVs play an important role in applications such as autonomous exploration, disaster response, and infrastructure inspection. However, UAV VLN in complex 3D environments remains challenging. A key difficulty is the structural representation mismatch between 2D visual perception and the 3D trajectory decision space, which limits spatial reasoning. To this end, we propose SpatialFly, a geometry-guided spatial representation framework for UAV VLN. Operating on RGB observations without explicit 3D reconstruction, SpatialFly introduces a geo
Advances in AI, particularly in visual processing and spatial reasoning, are enabling new capabilities for autonomous systems in complex environments.
Improving UAV autonomy in challenging 3D environments expands their utility for critical applications and reduces reliance on human operators, impacting various industries and defense.
UAVs can now perform more sophisticated navigation and tasks in complex 3D spaces using only visual data, enhancing their autonomy and operational reach.
- · UAV manufacturers
- · Defense contractors
- · Autonomous exploration sector
- · Infrastructure inspection companies
- · Companies reliant on manual inspection in hazardous environments
- · Traditional surveying methods
More widespread and effective deployment of UAVs in complex environments for both civilian and military applications.
Increased demand for advanced AI chips and sensors capable of real-time 3D spatial reasoning for autonomous platforms.
The development of increasingly general-purpose autonomous aerial agents capable of dynamic interaction with human-built environments.
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Read at arXiv cs.AI