Image: Visionary Machines’ Pandion™ Perception sensing stack mounted on a Mudd-Ox vehicle.
“We are pleased to be selected to evaluate Pandion™ Perception on an autonomous platform and its relevance to next-generation defence capability,”
Sonny Foster Chief Executive Officer Visionary Machines
The trials will assess the performance of Visionary Machines’ passive 3D sensing capability across a range of operationally relevant environments and conditions. Specifically, the activity will evaluate Pandion™ Perception’s integration with an autonomous platform for sensing, perception, localisation, mapping and navigation functions.
The work is expected to examine how the Company’s passive optical 3D sensing technology performs across different terrain, lighting, environmental and operational conditions.
This engagement positions Visionary Machines to demonstrate the effectiveness of Pandion™ Perception’s 3D sensing platform with a credible, technically demanding defence organisation for sensing and navigation on moving autonomous platforms. Success in these trials has the potential to open the door to further discussions on deploying the Company’s sensing capability across additional classes of autonomous platforms.
Visionary Machines is an Australian software and sensing company focused on passive counter-drone detection and situational awareness technologies for defence, security and critical infrastructure applications.
Pandion™ Perception is a passive sensing solution designed to support navigation and autonomous operations in complex and GPS-denied environments. By generating a real-time 3D representation of the operating environment at the edge, the system is designed to assist vehicle-based navigation, mapping and situational awareness applications across defence and civilian platforms.
Cap Vista is a fully-owned subsidiary of Defence Science and Technology Agency, a statutory board under Singapore’s Ministry of Defence. They seek to accelerate the adoption of innovative, commercial solutions to solve real challenges at speed.
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