activity
20192022
most citedFrontier Detection and Reachability Analysis for Efficient 2D Graph-SLAM Based Active Exploration

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

cs.RO2022

Graph Gain: A Concave-Hull Based Volumetric Gain for Robotic Exploration

Zezhou Sun, Huajun Liu, Chengzhong Xu +1

The existing volumetric gain for robotic exploration is calculated in the 3D occupancy map, while the sampling-based exploration method is extended in the reachable (free) space. T…

cs.RO2022

Ada-Detector: Adaptive Frontier Detector for Rapid Exploration

Zezhou Sun, Banghe Wu, Chengzhong Xu +1

In this paper, we propose an efficient frontier detector method based on adaptive Rapidly-exploring Random Tree (RRT) for autonomous robot exploration. Robots can achieve real-time…

cs.CV20201 cited

Frontier Detection and Reachability Analysis for Efficient 2D Graph-SLAM Based Active Exploration

Zezhou Sun, Banghe Wu, Cheng-Zhong Xu +3

We propose an integrated approach to active exploration by exploiting the Cartographer method as the base SLAM module for submap creation and performing efficient frontier detectio…

cs.RO2019

LiDAR Iris for Loop-Closure Detection

Ying Wang, Zezhou Sun, Cheng-Zhong Xu +3

In this paper, a global descriptor for a LiDAR point cloud, called LiDAR Iris, is proposed for fast and accurate loop-closure detection. A binary signature image can be obtained fo…

cs.RO2019

PuzzleFlex: kinematic motion of chains with loose joints

Samuel Lensgraf, Karim Itani, Yinan Zhang +7

This paper presents a method of computing free motions of a planar assembly of rigid bodies connected by loose joints. Joints are modeled using local distance constraints, which ar…