Peng Wu
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View article: Bayesian deep learning based semantic segmentation for unmanned surface vehicles in uncertain marine environments
Bayesian deep learning based semantic segmentation for unmanned surface vehicles in uncertain marine environments Open
View article: An intelligent energy management framework for hybrid-electric propulsion systems using deep reinforcement learning
An intelligent energy management framework for hybrid-electric propulsion systems using deep reinforcement learning Open
View article: COOL: Comprehensive Knowledge Enhanced Prompt Learning for Domain Adaptive Few-shot Fake News Detection
COOL: Comprehensive Knowledge Enhanced Prompt Learning for Domain Adaptive Few-shot Fake News Detection Open
Most Fake News Detection (FND) methods often struggle with data scarcity for emerging news domain. Recently, prompt learning based on Pre-trained Language Models (PLM) has emerged as a promising approach in domain adaptive few-shot learnin…
View article: ShipGAN: Generative Adversarial Network based simulation-to-real image translation for ships
ShipGAN: Generative Adversarial Network based simulation-to-real image translation for ships Open
Recent advances in robotics and autonomous systems (RAS) have significantly improved the autonomy level of unmanned surface vehicles (USVs) and made them capable of undertaking demanding tasks in various environments. During the operation …
View article: Path Planning for Unmanned Surface Vehicle Based on Improved Q-Learning Algorithm
Path Planning for Unmanned Surface Vehicle Based on Improved Q-Learning Algorithm Open
View article: Deep Learning-Based Maritime Environment Segmentation for Unmanned Surface Vehicles Using Superpixel Algorithms
Deep Learning-Based Maritime Environment Segmentation for Unmanned Surface Vehicles Using Superpixel Algorithms Open
Unmanned surface vehicles (USVs) are receiving increasing attention in recent years from both academia and industry. To make a high-level autonomy for USVs, the environment situational awareness is a key capability. However, due to the ric…
View article: Central Pattern Generator Model Design and Gait Control Research of Amphibious Robotic Fish
Central Pattern Generator Model Design and Gait Control Research of Amphibious Robotic Fish Open
Central Pattern Generator (CPG) has the characteristics of strong adaptability and various output forms, which is suitable for amphibious robotic fish whose environment may change at any time. According to the bionic prototype, the Hopf os…
View article: An Intelligent Energy Management Framework for Hybrid-Electric Propulsion Systems Using Deep Reinforcement Learning
An Intelligent Energy Management Framework for Hybrid-Electric Propulsion Systems Using Deep Reinforcement Learning Open
Hybrid-electric propulsion systems powered by clean energy derived from renewable sources offer a promising approach to decarbonise the world's transportation systems. Effective energy management systems are critical for such systems to ac…
View article: Unsupervised anomaly detection for underwater gliders using generative adversarial networks
Unsupervised anomaly detection for underwater gliders using generative adversarial networks Open
An effective anomaly detection system is critical for marine autonomous systems operating in complex and dynamic marine environments to reduce operational costs and achieve concurrent large-scale fleet deployments. However, developing an a…
View article: A multi-source data collection and information fusion method for distribution network based on IOT protocol
A multi-source data collection and information fusion method for distribution network based on IOT protocol Open
With the construction of Global Energy Internet, Intelligent distribution network has more and more characteristics of multi scene, multi service and changeable measurement and control objects. In order to realize data collection and infor…
View article: Research on Spectrum Sensing in 230MHz Power Wireless Private Network
Research on Spectrum Sensing in 230MHz Power Wireless Private Network Open
With the proposal of ubiquitous electric power internet of things, the power industry’s demand for communication network is more and more intense, and the development of power wireless private network also puts forward higher requirements …
View article: Business Hall Abnormal Behavior Detection Based on Cascading Deep Neural Network Model
Business Hall Abnormal Behavior Detection Based on Cascading Deep Neural Network Model Open
In the business halls of our country, video cameras are very common, but many videos are analyzed manually, which is time-consuming and labor-intensive, not smart enough. Many of them are used after-the-fact, unable to meet real-time requi…
View article: Learn to Navigate: Cooperative Path Planning for Unmanned Surface Vehicles Using Deep Reinforcement Learning
Learn to Navigate: Cooperative Path Planning for Unmanned Surface Vehicles Using Deep Reinforcement Learning Open
Unmanned surface vehicle (USV) has witnessed a rapid growth in the recent decade and has been applied in various practical applications in both military and civilian domains. USVs can either be deployed as a single unit or multiple vehicle…
View article: People detection and tracking using RGB-D cameras for mobile robots
People detection and tracking using RGB-D cameras for mobile robots Open
People detection and tracking is an essential capability for mobile robots in order to achieve natural human–robot interaction. In this article, a human detection and tracking system is designed and validated for mobile robots using color …
View article: Symmetric Kullback-Leibler Metric Based Tracking Behaviors for Bioinspired Robotic Eyes
Symmetric Kullback-Leibler Metric Based Tracking Behaviors for Bioinspired Robotic Eyes Open
A symmetric Kullback-Leibler metric based tracking system, capable of tracking moving targets, is presented for a bionic spherical parallel mechanism to minimize a tracking error function to simulate smooth pursuit of human eyes. More spec…