activity
20182021
most citedTowards Robust Visual Tracking for Unmanned Aerial Vehicle with Tri-Attentional Correlation Filters

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

collaborators
Showing cs.ROShow all

6 papers · 1 filter

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

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.RO20204 cited

Towards Robust Visual Tracking for Unmanned Aerial Vehicle with Tri-Attentional Correlation Filters

Yujie He, Changhong Fu, Fuling Lin +2

Object tracking has been broadly applied in unmanned aerial vehicle (UAV) tasks in recent years. However, existing algorithms still face difficulties such as partial occlusion, clu…

cs.RO2020

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…

cs.RO2018

PAMPC: Perception-Aware Model Predictive Control for Quadrotors

Davide Falanga, Philipp Foehn, Peng Lu +1

We present the first perception-aware model predictive control framework for quadrotors that unifies control and planning with respect to action and perception objectives. Our fram…