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Grant Award View - GA138649
Information Fusion for Tracking Objects in Large-Scale Sensor Network
GA ID:
GA138649
Agency:
Australian Research Council
Approval Date:
24-Nov-2020
Publish Date:
25-Nov-2020
Category:
Science, Technology, Engineering and Mathematics (STEM) Research
Grant Term:
1-Jul-2021 to 30-Jun-2024
Original: 1-Jan-2021 to 31-Dec-2023
Value (AUD):
$403,775.00
(GST inclusive where applicable)
Variations:
- GA138649-V3 - Variation to Grant (14-Oct-2021 )
- GA138649-V2 - Variation to Grant (2-Aug-2021 )
- GA138649-V1 - Variation to Grant (28-Apr-2021 )
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
ARC 20/21 Discovery
Grant Program:
Discovery Early Career Researcher Award
Grant Activity:
Information Fusion for Tracking Objects in Large-Scale Sensor Network
Purpose:
This project aims to develop a mathematical framework to combine multi-modal information coming from multiple sensors. These mobile sensors will be spatially distributed over a large-scale area for the purpose of multi-object tracking. The main application of this framework is for cooperative perception for intelligent decision making. Expected outcomes include a novel technique to integrate receiving information from multiple mobile agents (e.g. vehicle) to enhance their ability to anticipate situations in dynamic environments and to act effectively to enhance safety. This should provide benefits for the development of cooperative autonomous driving to enhance road safety.
GO ID:
GO Title:
Discovery Early Career Researcher Award for funding commencing in 2021
Internal Reference ID:
DE21 Round 1
Selection Process:
Targeted or Restricted Competitive
Confidentiality - Contract:
No
Confidentiality - Outputs:
No
Grant Recipient Details
Recipient Name:
RMIT University
Recipient ABN:
49 781 030 034
Grant Recipient Location
Suburb:
MELBOURNE
Town/City:
MELBOURNE
Postcode:
3000
State/Territory:
VIC
Country:
AUSTRALIA
Grant Delivery Location
State/Territory:
VIC
Postcode:
3000
Country:
AUSTRALIA