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Rapidscan - Enhanced Time Domain Signal Processing Methods for LiDar as Payload on Autonomous Systems (Part A)

Project Member(s): Oberst, S., Halkon, B., Fitch, R.

Funding or Partner Organisation: Department of Industry, Innovation and Science (Innovation Connections)
Department of Industry, Innovation and Science (Innovation Connections)
Robotic Systems Pty Ltd
Robotic Systems Pty Ltd

Start year: 2020

Summary: Development of enhanced signal processing for a LiDar device (Rapidscan) as payload on autonomous systems (UAVs, walking hexapods).


Darwish, A, Halkon, B & Oberst, S 2022, 'Non-Contact Vibro-Acoustic Object Recognition Using Laser Doppler Vibrometry and Convolutional Neural Networks', Sensors, vol. 22, no. 23, pp. 9360-9360.
View/Download from: Publisher's site

Darwish, A, Oberst, S & Halkon, B University of Technology Sydney 2022, Hexapod payload report, no. v1, Centre for Audio, Acoustics and Vibration, Faculty of Engineering and IT, University of Technology Sydney.

FOR Codes: Acoustics and noise control (excl. architectural acoustics), Emerging Defence Technologies