84 citations · 95 across the 8 of their papers we have counts for
8 papers
Explicit Attention-Enhanced Fusion for RGB-Thermal Perception Tasks
Mingjian Liang, Junjie Hu, Chenyu Bao +3
Recently, RGB-Thermal based perception has shown significant advances. Thermal information provides useful clues when visual cameras suffer from poor lighting conditions, such as l…
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…
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…
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…
AB-Mapper: Attention and BicNet Based Multi-agent Path Finding for Dynamic Crowded Environment
Huifeng Guan, Yuan Gao, Min Zhao +3
Multi-agent path finding in dynamic crowded environments is of great academic and practical value for multi-robot systems in the real world. To improve the effectiveness and effici…
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…
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,…
Semantic Histogram Based Graph Matching for Real-Time Multi-Robot Global Localization in Large Scale Environment
Xiyue Guo, Junjie Hu, Junfeng Chen +2
The core problem of visual multi-robot simultaneous localization and mapping (MR-SLAM) is how to efficiently and accurately perform multi-robot global localization (MR-GL). The dif…