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Grant Award View - GA188656-V2
A Bayesian Approach to Distributed Estimation for Multi-Object Systems
GA ID:
GA188656-V2
Agency:
Australian Research Council
Approval Date:
8-Sep-2021
Variation Publish Date:
31-May-2022
Variation Date:
30-Jun-2022
Category:
Science, Technology, Engineering and Mathematics (STEM) Research
Grant Term:
30-Jun-2022 to 29-Jun-2026
Value (AUD):
$1,011,851.00
(GST inclusive where applicable)
Varies:
GA188656
- A Bayesian Approach to Distributed Estimation for Multi-Object Systems
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
ARC 21/22 Discovery
Grant Program:
ARC Future Fellowships
Grant Activity:
A Bayesian Approach to Distributed Estimation for Multi-Object Systems
Purpose:
This project aims to develop new signal processing techniques that facilitate autonomous technologies for environmental perception, with the ability to efficiently process large data volumes from multiple sensing modalities. Rapid advances in sensors and networks have led to a digital data deluge, from which extracting useful information presents new technological challenges and opportunities. To address this development, this project seeks to develop new distributed solutions for statistical estimation, which are specifically designed for dynamic systems with multiple object states, and are inherently scalable and robust. The potential benefits include new technologies for smart cities, autonomous infrastructure, and digital productivity.
GO ID:
GO Title:
Future Fellowships for funding commencing in 2021
Internal Reference ID:
FT21 Round 1
Selection Process:
Targeted or Restricted Competitive
Confidentiality - Contract:
No
Confidentiality - Outputs:
No
Grant Recipient Details
Recipient Name:
Curtin University
Recipient ABN:
99 143 842 569
Grant Recipient Location
Suburb:
BENTLEY
Town/City:
BENTLEY
Postcode:
6102
State/Territory:
WA
Country:
AUSTRALIA
Grant Delivery Location
State/Territory:
WA
Postcode:
6102
Country:
AUSTRALIA