activity
20202022
most citedSemantic Histogram Based Graph Matching for Real-Time Multi-Robot Global Localization in Large Scale Environment

84 citations · 93 across the 7 of their papers we have counts for

collaborators

7 papers

cs.RO2022

MultiRoboLearn: An open-source Framework for Multi-robot Deep Reinforcement Learning

Junfeng Chen, Fuqin Deng, Yuan Gao +4

It is well known that it is difficult to have a reliable and robust framework to link multi-agent deep reinforcement learning algorithms with practical multi-robot applications. To…

cs.CV2021★ 1 cited

Abnormal Occupancy Grid Map Recognition using Attention Network

Fuqin Deng, Hua Feng, Mingjian Liang +6

The occupancy grid map is a critical component of autonomous positioning and navigation in the mobile robotic system, as many other systems' performance depends heavily on it. To g…

cs.CV2021★ 6 cited

FEANet: Feature-Enhanced Attention Network for RGB-Thermal Real-time Semantic Segmentation

Fuqin Deng, Hua Feng, Mingjian Liang +7

The RGB-Thermal (RGB-T) information for semantic segmentation has been extensively explored in recent years. However, most existing RGB-T semantic segmentation usually compromises…

cs.RO2021

Meta Reinforcement Learning Based Sensor Scanning in 3D Uncertain Environments for Heterogeneous Multi-Robot Systems

Junfeng Chen, Yuan Gao, Junjie Hu +2

We study a novel problem that tackles learning based sensor scanning in 3D and uncertain environments with heterogeneous multi-robot systems. Our motivation is two-fold: first, 3D…

cs.RO2021

AcousticFusion: Fusing Sound Source Localization to Visual SLAM in Dynamic Environments

Tianwei Zhang, Huayan Zhang, Xiaofei Li +3

Dynamic objects in the environment, such as people and other agents, lead to challenges for existing simultaneous localization and mapping (SLAM) approaches. To deal with dynamic e…

cs.CV2020★ 2 cited

A Two-stage Unsupervised Approach for Low light Image Enhancement

Junjie Hu, Xiyue Guo, Junfeng Chen +3

As vision based perception methods are usually built on the normal light assumption, there will be a serious safety issue when deploying them into low light environments. Recently,…