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Reliable scene perception in complex and uncertain environments. This project aims to enhance safety and efficiency in complex industrial environments by transforming the capacity of Artificial Intell

The University of Queensland — Early Career Industry Fellowships
Amount
Up to $514,259
Closes
Friday 30 June 2028
Status
unknown
Type
open opportunity
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Description

Reliable scene perception in complex and uncertain environments. This project aims to enhance safety and efficiency in complex industrial environments by transforming the capacity of Artificial Intelligence (AI) to handle scene perception. The potential transformations, which include more advanced model generalisation, purpose-distilled datasets, and proven performance estimation, should let AI systems adapt to new environments with minimal labelled data and fewer computational resources. Expected outcomes include two impactful systems for road infrastructure management and compliance monitoring in steelmaking – both reflecting innovation for Industry 4.0. Additionally, the project is expected to drive significant advancements in operational precision, safety and automation across multiple sectors.. Scheme: Early Career Industry Fellowships. Field: 4605 - Data Management and Data Science. Lead: Dr Zijian Wang

Categories
artsregenerativeenterprisetechnology

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Discovery method: arc-grants
Last verified: Monday 2 March 2026
Added: Saturday 28 February 2026