Aerial challenge

A team led by recently qualified engineers and scientists from Qinetiq’s Cortex training scheme has entered an unmanned air vehicle (UAV) for the MoD’s Grand Challenge.

A team, led by recently qualified engineers and scientists from

’s Cortex training scheme, has entered an unmanned air vehicle (UAV) for the

’s

.

The Grand Challenge, which is open to companies, research laboratories and academic science faculties, calls for the design of a platform with a high degree of autonomy that can detect, identify, monitor and report a comprehensive range of military threats in an urban environment.

Qinetiq said its Grand Challenge entry can take off vertically and then transition into conventional flight to provide range and operational duration. With this design, the vehicle can be used as a ‘conventional’ UAV, go into hover mode or be landed to function as an unattended ground sensor.

The sensor and imaging payload can be preconfigured using a number of existing technologies to meet user requirements. It can remain ‘on station’ and then take off again (unattended) and be recovered back to base or continue to perform as a UAV or a ground sensor at another location.

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