Signal Aspect Transition Detection

Project Member(s): Wang, Y., Chen, F., Guo, T.

Funding or Partner Organisation: Rail Corporation New South Wales (Sydney Trains)
Rail Corporation New South Wales (Sydney Trains)

Start year: 2021

Summary: Development of an object detection methodology to accurately detect the signal transitions for railway network

FOR Codes: Rail Infrastructure and Networks, Pattern Recognition and Data Mining, Image processing, Heavy rail infrastructure and networks, Urban rail infrastructure and networks (incl. light and metro rail)

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.