6 citations · 6 across the 4 of their papers we have counts for
5 papers
Intelligent Travel Activity Monitoring: Generalized Distributed Acoustic Sensing Approaches
Ruikang Zhong, Chia-Yen Chiang, Mona Jaber +2
Obtaining data on active travel activities such as walking, jogging, and cycling is important for refining sustainable transportation systems (STS). Effectively monitoring these ac…
A low complexity contextual stacked ensemble-learning approach for pedestrian intent prediction
Chia-Yen Chiang, Yasmin Fathy, Gregory Slabaugh +1
Walking as a form of active travel is essential in promoting sustainable transport. It is thus crucial to accurately predict pedestrian crossing intention and avoid collisions, esp…
AllTheDocks road safety dataset: A cyclist's perspective and experience
Chia-Yen Chiang, Ruikang Zhong, Jennifer Ding +3
Active travel is an essential component in intelligent transportation systems. Cycling, as a form of active travel, shares the road space with motorised traffic which often affects…
A Distributed Acoustic Sensor System for Intelligent Transportation using Deep Learning
Chia-Yen Chiang, Mona Jaber, Peter Hayward
Intelligent transport systems (ITS) are pivotal in the development of sustainable and green urban living. ITS is data-driven and enabled by the profusion of sensors ranging from pn…
Deep Learning based Automated Forest Health Diagnosis from Aerial Images
Chia-Yen Chiang, Chloe Barnes, Plamen Angelov +1
Global climate change has had a drastic impact on our environment. Previous study showed that pest disaster occured from global climate change may cause a tremendous number of tree…