activity
20172024
most citedSensor Fusion for Public Space Utilization Monitoring in a Smart City

115 citations · 190 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV2024

Real-Time AI-Driven People Tracking and Counting Using Overhead Cameras

Ishrath Ahamed, Chamith Dilshan Ranathunga, Dinuka Sandun Udayantha +2

Accurate people counting in smart buildings and intelligent transportation systems is crucial for energy management, safety protocols, and resource allocation. This is especially c…

cs.RO20212 cited

Relative Localization of Mobile Robots with Multiple Ultra-WideBand Ranging Measurements

Zhiqiang Cao, Ran Liu, Chau Yuen +4

Relative localization between autonomous robots without infrastructure is crucial to achieve their navigation, path planning, and formation in many applications, such as emergency…

stat.AP202110 cited

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…

stat.AP20203 cited

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…

eess.SY20201 cited

Minimizing Electricity Cost through Smart Lighting Control for Indoor Plant Factories

Clement Lork, Michael Cubillas, Benny Kai Kiat Ng +2

Smart plant factories incorporate sensing technology, actuators and control algorithms to automate processes, reducing the cost of production while improving crop yield many times…

cs.CV202059 cited

Cluster Pruning: An Efficient Filter Pruning Method for Edge AI Vision Applications

Chinthaka Gamanayake, Lahiru Jayasinghe, Benny Ng +1

Even though the Convolutional Neural Networks (CNN) has shown superior results in the field of computer vision, it is still a challenging task to implement computer vision algorith…