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- Vision-Based Learning for Drones: A Survey60
The fundamental principles of vision-based learning are elucidated, demonstrating how it significantly improves drones’ visual perception and decision-making processes and various applications of vision-based drones with learning capabilities are explored.
- Grounded Vision-Language Navigation for UAVs with Open-Vocabulary Goal Understanding30
Real-world VLN tasks in indoor and outdoor environments under direct and indirect instructions demonstrate that VLFly achieves robust open-vocabulary goal understanding and generalized navigation capabilities, even in the presence of abstract language input.
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- FM-Planner: Foundation Model Guided Path Planning for Autonomous Drone Navigation12
This paper proposes foundation model-guided path planners (FM-Planner) and presents a comprehensive benchmarking study and practical validation for drone path planning, and designs an integrated LLM-Vision planner that combines semantic reasoning with visual perception.
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Publication data from OpenAlex; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-11. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
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