In an increasingly complex and congested digital battlespace, the need to provide near real-time information on the whereabouts of an adversary’s location and intent, using enhanced situational awareness capabilities, is vital in aiding armoured units to respond quickly to incoming threats. It is therefore imperative for our defence forces to have a greater understanding of the capabilities available, to enhance both combat effectiveness and the survivability of the vehicle.
SMi Group proudly presents the fifth annual conference in the sell-out portfolio of Armoured Vehicle events: Future Armoured Vehicles Situational Awareness 2021, the leading conference for armoured vehicle experts focused on C2, C4i, sensors, optronics and vehicle architecture.
The 2021 event invites not only military programme managers, operational commanders and leading engineers, but will also provide the perfect platform for both operational users and industry to share their insights on the latest systems and sub-systems, providing greater awareness of existing capabilities and future requirements.
Highlights for 2021
  • Hear the latest host nation capability updates from the British Armour Centre, Joint Forces Command, DSTL and DE&S
  • Network with key OEMs and System Integrators such as General Dynamics European Land Systems, Patria Land, Thales, Diehl Defence, SAAB Barracuda, BAE and General Dynamics UK
  • New focuses: sensor networks, signature management and integration of unmanned assets
  • Explore land force interoperability and training requirements for enhanced joint fires during coalition operations
  • Key topics will include: vetronic architectures, communications, CIS capabilities, battle management systems, acoustic sensors, optronics, crew displays, active protection, defensive aid suites and mobile camouflage systems


Early bird discounts:
Book by 30th April to save £400
Book by 29th May to save £300
Book by 30th June to save £200
Register online at
Opening Date:12/04/2021
Closing Date:13/04/2021
Country:United Kingdom
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