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Awesome Aerial Visual-Language Navigation

The new spin-off of Visual Language Navigation.

Your suggestions to the list are highly encouraged (use the issues).


Table of Contents


Core Labs

Research groups with multiple or foundational contributions to Aerial VLN.

Lab / PI Institution Country Papers
Bin Zhao, Dong Wang, Xuelong Li Shanghai AI Laboratory China STMR, OpenFLY
Boyu Zhou Southern University of Science and Technology (SUSTech) + Sun Yat-Sen University China OnFly
Fei Gao (FAST Lab) Zhejiang University China NavDreamer
Chen Gao, Yong Li (FIBLab) Tsinghua University China EmbodiedCity, AirCopBench
Si Liu Beihang University China OpenUAV
Xian Sun, Kun Fu Aerospace Information Research Institute, Chinese Academy of Sciences China AeroVerse
Yutao Yue, Hui Xiong HKUST (Guangzhou) China AutoFly, AirCopBench
Yongming Huang Southeast University + Purple Mountain Labs China AutoFly
Xin Eric Wang University of California, Santa Cruz USA AVDN
Lin Zhong Yale University USA TypeFly
Shubo Liu et al. Northwestern Polytechnical University (NWPU) + Macquarie University China / Australia AerialVLN
Yutaka Matsuo, Nakamasa Inoue University of Tokyo + Institute of Science Tokyo Japan CityNAV

Datasets and Benchmarks

  • [AirCopBench]: A Benchmark for Multi-drone Collaborative Embodied Perception and Reasoning
    AAAI 2026 paper page

  • [EmbodiedCity]: A Benchmark Platform for Embodied Agent in Real-world City Environment
    Preprint, 2024 paper page code

  • [OpenUAV]: Towards Realistic UAV Vision-Language Navigation: Platform, Benchmark, and Methodology
    Preprint, 2024 paper page code

  • [AeroVerse]: UAV-Agent Benchmark Suite for Simulating, Pre-training, Finetuning, and Evaluating Aerospace Embodied World Models
    Preprint, 2024 paper code

  • [CityNAV]: Language-Goal Aerial Navigation Dataset with Geographic Information
    Preprint, 2024 paper code

  • [AerialVLN]: Vision-and-Language Navigation for UAVs
    ICCV 2023 paper code

  • [AVDN]: Aerial Vision-and-Dialog Navigation
    ACL 2023 paper code


Aerial VLN

  • [OnFly]: Onboard Zero-Shot Aerial Vision-Language Navigation toward Safety and Efficiency
    2026 page paper

  • [AutoFly]: Vision-Language-Action Model for UAV Autonomous Navigation in the Wild
    2026 page paper

  • [NavDreamer]: Video Models as Zero-Shot 3D Navigators
    2026 page paper

  • [See, Point, Fly (SPF)]: A Learning-Free VLM Framework for Universal Unmanned Aerial Navigation
    2025 paper

  • [OpenFLY]: A Versatile Toolchain and Large-scale Benchmark for Aerial Vision-Language Navigation
    Preprint, 2025 paper code

  • [AeroVerse]: UAV-Agent Benchmark Suite for Simulating, Pre-training, Finetuning, and Evaluating Aerospace Embodied World Models
    Journal Preprint, 2025 paper

  • [STMR]: Aerial Vision-and-Language Navigation via Semantic-Topo-Metric Representation Guided LLM Reasoning
    Preprint, 2024 paper video

  • [OpenUAV]: Towards Realistic UAV Vision-Language Navigation: Platform, Benchmark, and Methodology
    Preprint, 2024 paper page

  • [CityNAV]: Language-Goal Aerial Navigation Dataset with Geographic Information
    Preprint, 2024 paper code

  • [PIVOT]: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs
    2024 paper

  • [AerialVLN]: Vision-and-Language Navigation for UAVs
    ICCV 2023 paper code

  • [AVDN]: Aerial Vision-and-Dialog Navigation
    ACL 2023 paper code

  • [TypeFly]: Flying Drones with Large Language Model
    2023 paper


Simulators


Links

mail: oleg.sautenkov[at]skoltech.ru

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