Research Supervisor Connect
Active perception involves moving a sensor to maximise information gain about the local environment. Cognitive radar goes even further, to change the sensor parameters themselves to better probe the environment. In this project you will develop a simulation model to exploit these techniques and further robotic perception for applications such as humanitarian assistance and disaster relief.
Aerospace, Mechanical and Mechatronic Engineering
PHD
An accurate sensor model is required to better understand the interaction of high resolution millimetre-wave radar within complex dynamic environments, particularly in instances where both the radar-platform and target (for example a pedestrian, animal, vehicle or vegetation is in motion). Using the wealth of sensors available to the ACFR and access to High Performance Computing facilities within the University, the intention for this project is to develop a GPU based physical-optics model capable of operation in real-time ‘in the cloud’. Using this model, a Bayesian framework may be constructed to identify potential manoeuvres to seek out areas of increased novelty/information while minimising noise. This project would suit a graduate with a strong background or interest in physics, mechatronics and/or computer-science.
The opportunity ID for this research opportunity is 2103