The pace of change within the field of Unmanned Aerial Systems is simply staggering. From relative obscurity in the 1990’s, there are now over 260 UAV variants flying or in development from over 50 countries. Whole new classes of aircraft have emerged: SUAS, TUAS, MALE, HALE, LEMV and UCAS, and capabilities stretch to 7 days airborne, 70,000+ feet and 3,000+ lbs of weapons. Global investment is estimated at US $6 Billion this year, rising to US $55 Billion by 2020.
But these statistics, whilst impressive, do not reveal the true marvel on our doorstep: that is the pace of technological change feeding these aeronautical systems. Proponents of Moore’s Law (of Integrated Circuits) suggest a doubling of computer capabilities every 18 months to 2 years: this is a logarithmic increase in what systems should be able to perform.
This paradigm shift will occur within ‘present to near-future’ timescales and we need to be actively planning to take advantage of these leaps in capability.
According to Keven Gambold, Squadron Leader, Royal Air Force (RAF), “Computers will have the same processing power as the human brain by 2020. That is a fact, not science fiction. To my mind, we are not prepared for what is coming.”
Join webinar leader, Keven Gambold as he challenges the “accepted wisdom” within today’s UAV fields. Participants will learn:
- What future UAV designs will need to look like and what they will be capable of, including larger unmanned (Boeing 737) operations
- Exclusive ‘out of the box’ design considerations from a UAV pilot and expert in Human Machine Interfaces (HMI)
- What key issues of UAV regulation and licensing regulating agencies should address (i.e., Commercial Pilot’s License)
- As well as:
- What’s in a name – and what are industry leaders talking about Remotely Piloted Aircraft (RPA) instead of UAVS?
- What will happen in the post-Afghanistan climate when unmanned systems take on other missions?
Please watch the webinar here http://mediaiq.adobeconnect.com/p26314397/?launcher=false&fcsContent=true&pbMode=normal
