activity
20202022
most citedGenerating Large Convex Polytopes Directly on Point Clouds

14 citations · 21 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2022

Star-Convex Constrained Optimization for Visibility Planning with Application to Aerial Inspection

Tianyu Liu, Qianhao Wang, Xingguang Zhong +4

The visible capability is critical in many robot applications, such as inspection and surveillance, etc. Without the assurance of the visibility to targets, some tasks end up not b…

cs.RO20214 cited

Visibility-aware Trajectory Optimization with Application to Aerial Tracking

Qianhao Wang, Yuman Gao, Jialin Ji +2

The visibility of targets determines performance and even success rate of various applications, such as active slam, exploration, and target tracking. Therefore, it is crucial to t…

cs.RO20212 cited

Autonomous Flights in Dynamic Environments with Onboard Vision

Yingjian Wang, Jialin Ji, Qianhao Wang +2

In this paper, we introduce a complete system for autonomous flight of quadrotors in dynamic environments with onboard sensing. Extended from existing work, we develop an occlusion…

cs.RO202014 cited

Generating Large Convex Polytopes Directly on Point Clouds

Xingguang Zhong, Yuwei Wu, Dong Wang +3

In this paper, we present a method to efficiently generate large, free, and guaranteed convex space among arbitrarily cluttered obstacles. Our method operates directly on point clo…

cs.RO20201 cited

Learning-based 3D Occupancy Prediction for Autonomous Navigation in Occluded Environments

Lizi Wang, Hongkai Ye, Qianhao Wang +3

In autonomous navigation of mobile robots, sensors suffer from massive occlusion in cluttered environments, leaving significant amount of space unknown during planning. In practice…