5 papers
TARIC: Memory-Augmented Traversability-Aware Outdoor VLN under Interrupted Semantic Cues
Tianle Zeng, Hanjing Ye, Jianwei Peng +3
Outdoor vision-language navigation (VLN) in long-range, open-world environments is frequently disrupted by semantic-cue interruptions, where informative goal cues become sparse, oc…
CosFly-Track: A Large-Scale Multi-Modal Dataset for UAV Visual Tracking via Multi-Constraint Trajectory Optimization
Xiangyue Wang, Hanxuan Chen, Songsheng Cheng +7
Recent aerial vision-language navigation (VLN) datasets have grown rapidly, but they primarily address goal-oriented navigation to static destinations, leaving UAV visual tracking…
CosFly: Plan in the Matrix, Fly in the World
Hanxuan Chen, Xiangyue Wang, Songsheng Cheng +8
We present CosFly, a box-structured planning and multimodal simulation pipeline for aerial tracking, together with CosFly-Track, a large-scale UAV dataset for dynamic target tracki…
Vision-and-Language Navigation for UAVs: Progress, Challenges, and a Research Roadmap
Hanxuan Chen, Jie Zheng, Siqi Yang +9
Vision-and-Language Navigation for Unmanned Aerial Vehicles (UAV-VLN) represents a pivotal challenge in embodied artificial intelligence, focused on enabling UAVs to interpret high…
HEPP: Hyper-efficient Perception and Planning for High-speed Obstacle Avoidance of UAVs
Minghao Lu, Xiyu Fan, Bowen Xu +5
High-speed obstacle avoidance of uncrewed aerial vehicles (UAVs) in cluttered environments is a significant challenge. Existing UAV planning and obstacle avoidance systems can only…