Estimation and control of multi-object systems with high-fidenlity sensor models: A labelled random finite set approach
Principled and novel multi-object tracking algorithms are proposed, that have the ability to optimally process realistic sensor data, by accommodating complex observational phenomena such as merged measurements and extended targets. Additionally, a sensor control scheme based on a tractable, informa...
| Main Author: | Beard, Michael Anthony |
|---|---|
| Format: | Thesis |
| Language: | English |
| Published: |
Curtin University
2016
|
| Online Access: | http://hdl.handle.net/20.500.11937/627 |
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