278 citations · 651 across the 22 of their papers we have counts for
25 papers
Distributed Relative Localization for Homogeneous Multi-Robot Systems through UWB Ranging and Limited Communications
Zhiqiang Cao, Ran Liu, Billy Pik Lik Lau +2
Accurate and reliable relative localization is crucial for multi-robot applications like exploration, search, and rescue missions. LiDAR-based solutions offer high accuracy in loca…
Distributed Relative Localization Based on Ultra-WideBand and LiDAR for Multi-robot with Limited Communication
Zhiqiang Cao, Ran Liu, Billy Pik Lik Lau +2
Relative localization is crucial for a multi-robot system to collaboratively perform tasks, such as exploration and formation. However, this is highly challenging for homogeneous r…
Joint Optimization of Cooperation Efficiency and Communication Covertness for Target Detection with AUVs
Xueyao Zhang, Bo Yang, Zhiwen Yu +10
This paper investigates underwater cooperative target detection using autonomous underwater vehicles (AUVs), with a focus on the critical trade-off between cooperation efficiency a…
Large Language Models for Video Surveillance Applications
Ulindu De Silva, Leon Fernando, Billy Lau Pik Lik +4
The rapid increase in video content production has resulted in enormous data volumes, creating significant challenges for efficient analysis and resource management. To address thi…
Distributed multi-robot potential-field-based exploration with submap-based mapping and noise-augmented strategy
Khattiya Pongsirijinda, Zhiqiang Cao, Kaushik Bhowmik +5
Multi-robot collaboration has become a needed component in unknown environment exploration due to its ability to accomplish various challenging situations. Potential-field-based me…
GMC-Pos: Graph-Based Multi-Robot Coverage Positioning Method
Khattiya Pongsirijinda, Zhiqiang Cao, Muhammad Shalihan +4
Nowadays, several real-world tasks require adequate environment coverage for maintaining communication between multiple robots, for example, target search tasks, environmental moni…
Moving Object Localization based on the Fusion of Ultra-WideBand and LiDAR with a Mobile Robot
Muhammad Shalihan, Zhiqiang Cao, Khattiya Pongsirijinda +5
Localization of objects is vital for robot-object interaction. Light Detection and Ranging (LiDAR) application in robotics is an emerging and widely used object localization techni…
Towards Ubiquitous Semantic Metaverse: Challenges, Approaches, and Opportunities
Kai Li, Billy Pik Lik Lau, Xin Yuan +3
In recent years, ubiquitous semantic Metaverse has been studied to revolutionize immersive cyber-virtual experiences for augmented reality (AR) and virtual reality (VR) users, whic…
Exploiting Radio Fingerprints for Simultaneous Localization and Mapping
Ran Liu, Billy Pik Lik Lau, Khairuldanial Ismail +6
Simultaneous localization and mapping (SLAM) is paramount for unmanned systems to achieve self-localization and navigation. It is challenging to perform SLAM in large environments,…
Location-based Activity Behavior Deviation Detection for Nursing Home using IoT Devices
Billy Pik Lik Lau, Zann Koh, Yuren Zhou +3
With the advancement of the Internet of Things(IoT) and pervasive computing applications, it provides a better opportunity to understand the behavior of the aging population. Howev…
Clustering and Analysis of GPS Trajectory Data using Distance-based Features
Zann Koh, Yuren Zhou, Billy Pik Lik Lau +3
The proliferation of smartphones has accelerated mobility studies by largely increasing the type and volume of mobility data available. One such source of mobility data is from GPS…
Multi-AGV's Temporal Memory-based RRT Exploration in Unknown Environment
Billy Pik Lik Lau, Brandon Jin Yang Ong, Leonard Kin Yung Loh +4
With the increasing need for multi-robot for exploring the unknown region in a challenging environment, efficient collaborative exploration strategies are needed for achieving such…
Distributed Ranging SLAM for Multiple Robots with Ultra-WideBand and Odometry Measurements
Ran Liu, Zhongyuan Deng, Zhiqiang Cao +6
To accomplish task efficiently in a multiple robots system, a problem that has to be addressed is Simultaneous Localization and Mapping (SLAM). LiDAR (Light Detection and Ranging)…
Collaborative Radio SLAM for Multiple Robots based on WiFi Fingerprint Similarity
Ran Liu, Zhenghong Qin, Hua Zhang +6
Simultaneous Localization and Mapping (SLAM) enables autonomous robots to navigate and execute their tasks through unknown environments. However, performing SLAM in large environme…
Lithium-ion Battery State of Health Estimation based on Cycle Synchronization using Dynamic Time Warping
Kate Qi Zhou, Yan Qin, Billy Pik Lik Lau +2
The state of health (SOH) estimation plays an essential role in battery-powered applications to avoid unexpected breakdowns due to battery capacity fading. However, few studies hav…
Cost-effective Mapping of Mobile Robot Based on the Fusion of UWB and Short-range 2D LiDAR
Ran Liu, Yongping He, Chau Yuen +4
Environment mapping is an essential prerequisite for mobile robots to perform different tasks such as navigation and mission planning. With the availability of low-cost 2D LiDARs,…
WiFi Fingerprint Clustering for Urban Mobility Analysis
Sumudu HasalaMarakkalage, Billy Pik Lik Lau, Yuren Zhou +4
In this paper, we present an unsupervised learning approach to identify the user points of interest (POI) by exploiting WiFi measurements from smartphone application data. Due to t…
The Study of Urban Residential's Public Space Activeness using Space-centric Approach
Billy Pik Lik Lau, Benny Kai Kiat Ng, Chau Yuen +2
With the advancement of the Internet of Things (IoT) and communication platform, large scale sensor deployment can be easily implemented in an urban city to collect various informa…
Multiple-Perspective Clustering of Passive Wi-Fi Sensing Trajectory Data
Zann Koh, Yuren Zhou, Billy Pik Lik Lau +3
Information about the spatiotemporal flow of humans within an urban context has a wide plethora of applications. Currently, although there are many different approaches to collect…
Urban Space Insights Extraction using Acoustic Histogram Information
Nipun Wijerathne, Billy Pik Lik Lau, Benny Kai Kiat Ng +1
Urban data mining can be identified as a highly potential area that can enhance the smart city services towards better sustainable development especially in the urban residential a…
Understanding Crowd Behaviors in a Social Event by Passive WiFi Sensing and Data Mining
Yuren Zhou, Billy Pik Lik Lau, Zann Koh +2
Understanding crowd behaviors in a large social event is crucial for event management. Passive WiFi sensing, by collecting WiFi probe requests sent from mobile devices, provides a…
A Survey of Data Fusion in Smart City Applications
Billy Pik Lik Lau, Sumudu Hasala Marakkalage, Yuren Zhou +4
The advancement of various research sectors such as Internet of Things (IoT), Machine Learning, Data Mining, Big Data, and Communication Technology has shed some light in transform…
Understanding Urban Human Mobility through Crowdsensed Data
Yuren Zhou, Billy Pik Lik Lau, Chau Yuen +2
Understanding how people move in the urban area is important for solving urbanization issues, such as traffic management, urban planning, epidemic control, and communication networ…
Sensor Fusion for Public Space Utilization Monitoring in a Smart City
Billy Pik Lik Lau, Nipun Wijerathne, Benny Kai Kiat Ng +1
Public space utilization is crucial for urban developers to understand how efficient a place is being occupied in order to improve existing or future infrastructures. In a smart ci…