4 papers
ImagineUAV: Aerial Vision-Language Navigation via World-Action Modeling and Kinodynamic Planning
Xuchen Liu, Jiawei Huang, Shihao Xia +3
Vision-language navigation (VLN) for UAVs demands grounding free-form instructions into 6-DoF flight under partial observability. While Vision-Language-Action (VLA) models excel at…
SwordRiding: A Unified Navigation Framework for Quadrotors in Unknown Complex Environments via Online Guiding Vector Fields
Xuchen Liu, Ruocheng Li, Bin Xin +5
Although quadrotor navigation has achieved high performance in trajectory planning and control, real-time adaptability in unknown complex environments remains a core challenge. Thi…
Open3D-VQA: A Benchmark for Comprehensive Spatial Reasoning with Multimodal Large Language Model in Open Space
Weichen Zhang, Zile Zhou, Xin Zeng +7
Spatial reasoning is a fundamental capability of multimodal large language models (MLLMs), yet their performance in open aerial environments remains underexplored. In this work, we…
TrackingMiM: Efficient Mamba-in-Mamba Serialization for Real-time UAV Object Tracking
Bingxi Liu, Calvin Chen, Junhao Li +5
The Vision Transformer (ViT) model has long struggled with the challenge of quadratic complexity, a limitation that becomes especially critical in unmanned aerial vehicle (UAV) tra…