activity
20172021
most citedAutonomous Mobile Robot Navigation in Uneven and Unstructured Indoor Environments

9 citations · 11 across the 3 of their papers we have counts for

collaborators

6 papers

cs.RO2021

VDB-EDT: An Efficient Euclidean Distance Transform Algorithm Based on VDB Data Structure

Delong Zhu, Chaoqun Wang, Wenshan Wang +3

This paper presents a fundamental algorithm, called VDB-EDT, for Euclidean distance transform (EDT) based on the VDB data structure. The algorithm executes on grid maps and generat…

cs.RO2020

Mobile Robot Path Planning in Dynamic Environments: A Survey

Kuanqi Cai, Chaoqun Wang, Jiyu Cheng +2

There are many challenges for robot navigation in densely populated dynamic environments. This paper presents a survey of the path planning methods for robot navigation in dense en…

cs.RO2019

Coverage Sampling Planner for UAV-enabled Environmental Exploration and Field Mapping

Teng Li, Chaoqun Wang, Max Q. -H. Meng +1

Unmanned Aerial Vehicles (UAVs) have been implemented for environmental monitoring by using their capabilities of mobile sensing, autonomous navigation, and remote operation. Howev…

cs.RO2019

HouseExpo: A Large-scale 2D Indoor Layout Dataset for Learning-based Algorithms on Mobile Robots

Tingguang Li, Danny Ho, Chenming Li +3

As one of the most promising areas, mobile robots draw much attention these years. Current work in this field is often evaluated in a few manually designed scenarios, due to the la…

cs.RO20182 cited

SRM: An Efficient Framework for Autonomous Robotic Exploration in Indoor Environments

Chaoqun Wang, Delong Zhu, Teng Li +2

In this paper, we propose an integrated framework for the autonomous robotic exploration in indoor environments. Specially, we present a hybrid map, named Semantic Road Map (SRM),…

cs.RO20179 cited

Autonomous Mobile Robot Navigation in Uneven and Unstructured Indoor Environments

Chaoqun Wang, Lili Meng, Sizhen She +6

Robots are increasingly operating in indoor environments designed for and shared with people. However, robots working safely and autonomously in uneven and unstructured environment…