activity
20202026
most citedIdentification and Avoidance of Static and Dynamic Obstacles on Point Cloud for UAVs Navigation

2 citations · 4 across the 9 of their papers we have counts for

collaborators

10 papers

cs.RO2026

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…

cs.RO2026

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…

cs.RO2026

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…

cs.RO2026

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…

cs.RO2025

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…

cs.RO2023★ 1 cited

FAPP: Fast and Adaptive Perception and Planning for UAVs in Dynamic Cluttered Environments

Minghao Lu, Xiyu Fan, Han Chen +1

Obstacle avoidance for Unmanned Aerial Vehicles (UAVs) in cluttered environments is significantly challenging. Existing obstacle avoidance for UAVs either focuses on fully static e…

cs.RO2021

A Fast Planning Approach for 3D Short Trajectory with a Parallel Framework

Han Chen, Shengyang Chen, Peng Lu +1

For real applications of unmanned aerial vehicles, the capability of navigating with full autonomy in unknown environments is a crucial requirement. However, planning a shorter pat…

cs.RO2021

Real-time Identification and Simultaneous Avoidance of Static and Dynamic Obstacles on Point Cloud for UAVs Navigation

Han Chen, Peng Lu

Avoiding hybrid obstacles in unknown scenarios with an efficient flight strategy is a key challenge for unmanned aerial vehicle applications. In this paper, we introduce a more rob…

cs.RO2021★ 2 cited

Identification and Avoidance of Static and Dynamic Obstacles on Point Cloud for UAVs Navigation

Han Chen, Peng Lu

Avoiding hybrid obstacles in unknown scenarios with an efficient flight strategy is a key challenge for unmanned aerial vehicle applications. In this paper, we introduce a techniqu…

cs.RO2020★ 1 cited

Computationally Efficient Obstacle Avoidance Trajectory Planner for UAVs Based on Heuristic Angular Search Method

Han Chen, Peng Lu

For accomplishing a variety of missions in challenging environments, the capability of navigating with full autonomy while avoiding unexpected obstacles is the most crucial require…