Solicitation 2024 1.0

Inviting global startups to address challenges in areas like advanced sensing, AI, maritime and simulation.

 

The challenge has ended and all enquiries are now closed.

 

Challenge Statements

1. How might we enable robots to navigate autonomously and/or do mapping in Global Navigation Satellite System (GNSS)-denied environment for Humanitarian Assistance and Disaster Relief (HADR) missions?

HADR missions may require robots to navigate and avoid collision, and/or do mapping in GNSS-denied, space constraint environment.

 

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2. We are looking for novel payloads that could be integrated onto small platforms like commercial drones to improve work efficiencies.

Small platforms such as commercial drones are commonly integrated with sensors such as electro-optics cameras, or communication payloads to provide sensing capabilities for operators.


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3. How might we reliably and continuously monitor underwater infrastructure such as power cables and gas pipelines to detect issues early?

Regular maintenance is required to identify issues early and prevent disruptions from damaged power cables and gas pipelines.


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4. How might we improve ship hull maintenance for operations in tropical waters?

Ship hulls under warm tropical waters are subject to fouling and corrosion, which can compromise the ship’s structural integrity and pose safety risks.

Current methods of managing ship hull deterioration of ship hulls are labour intensive, time-consuming, and pose safety risks to personnel. Additionally, a manual approach may not provide a complete picture of the ship hull condition.


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5. How do we quickly and effectively detect fake videos?

The number of AI-powered tools capable of manipulating or generating fake videos has increased exponentially over the last few years. We need to be able to reliably detect and debunk fake videos.


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6. How do we generate reference data to assess and compare deepfake detection tools?

A deepfake is an image, or a video or audio recording, that has been edited in a way that makes it look authentic. Commercial tools to detect such manipulated images and videos would have been trained against their own datasets or optimized for particular AI-generation techniques. We are looking for ways to generate suitable reference data to benchmark these detection tools.


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7. How might we harness gamification and/or cognitive load analysis tools to enhance training?

Commercial training simulators generally offer standardised training packages that may not incorporate gamification elements or cognitive load analysis to engage trainees in training regimes. We seek solutions that incorporate gamification elements and/or non-invasive cognitive load analysis to enhance training for individuals.


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Out-of-the-Box

If you have an innovative solution that does not fit into any our Challenge Statements, we invite you to submit your proposal too!

Out-of-the-box proposals may be submitted during each challenge’s solicitation period and will be assessed alongside other submissions.