ACT CHAPTER SP/COMS SEMINAR
Multi-object systems are complex dynamical systems in which the number of objects and their states are unknown and vary randomly with time. Multi-object systems arise in many application areas, including acoustic localization, computer vision, autonomous driving, biomedical research, and defence. Indeed multi-object systems are ubiquitous in nature. Pioneered by Mahler almost two decades ago, the introduction of the random finite set approach to estimation and control for multi-object systems has attracted substantial interest from academia and industry alike. This seminar presents the latest in advancements in filtering and smoothing for multi-object systems, with demonstrations on audio and visual tracking, self driving cars, cell microscopy analysis, and trajectory planning with passive sonar.
Date and Time
Location
Hosts
Registration
-
Add Event to Calendar
- Canberra, Australian Capital Territory
- Australia
- Building: Ian Ross Building ANU
- Room Number: Room 214
Speakers
Ba Tuong Vo of Curtin University, Australia
Biography:
Ba Tuong Vo is currently a Professor with the Department of Electrical and Computer Engineering at Curtin University in Perth, Australia. He obtained dual Bachelor degrees in Applied Mathematics as well as in Electrical and Electronic Engineering in 2005, and PhD with distinction in 2008 all from The University of Western Australia. He has active research interests in multi-object filtering, Bayesian estimation, and statistical signal processing. He is a previous recipient of an Australian Research Council Fellowship and a co recipient the 2010 DSTO Australian Museum Eureka Prize for "Outstanding Contributions in Support of Defence or National Security". He is best known for his works on random finite set algorithms for multi-sensor multi-target tracking.