16 Dr Donough Wilson Dr Wilson is innovation lead at aviation, defence, and homeland security innovation consultants, VIVID/ futureVision. His defence innovations include the cockpit vision system that protects military aircrew from asymmetric high-energy laser attack. He was first to propose the automatic tracking and satellite download of airliner black box and cockpit voice recorder data in the event of an airliner’s unplanned excursion from its assigned flight level or track. For his ‘outstanding and practical contribution to the safer operation of aircraft’ he was awarded The Sir James Martin Award 2018/19, by the Honourable Company of Air Pilots. Paul Weighell Paul has been involved with electronics, computer design and programming since 1966. He has worked in the realtime and failsafe data acquisition and automation industry using mainframes, minis, micros and cloud-based hardware on applications as diverse as defence, Siberian gas pipeline control, UK nuclear power, robotics, the Thames Barrier, Formula One and automated financial trading systems. Ian Williams-Wynn Ian has been involved with uncrewed and autonomous systems for more than 20 years. He started his career in the military, working with early prototype uncrewed systems and exploiting imagery from a range of systems from global suppliers. He has also been involved in ground-breaking research including novel power and propulsion systems, sensor technologies, communications, avionics and physical platforms. His experience covers a broad spectrum of domains from space, air, maritime and ground, and in both defence and civil applications including, more recently, connected autonomous cars. Professor James Scanlan Professor Scanlan is the director of the Strategic Research Centre in Autonomous Systems at the University of Southampton, in the UK. He also co-directs the Rolls-Royce University Technical Centre in design at Southampton. He has an interest in design research, and in particular how complex systems (especially aerospace systems) can be optimised. More recently, he established a group at Southampton that undertakes research into uncrewed aircraft systems. He produced the world’s first ‘printed aircraft’, the SULSA, which was flown by the Royal Navy in the Antarctic in 2016. He also led the team that developed the ULTRA platform, the largest UK commercial UAV, which has flown BVLOS extensively in the UK. He is a qualified full-size aircraft pilot and also has UAV flight qualifications. Dr David Barrett Dr David Barrett’s career includes senior positions with companies such as iRobot and Walt Disney Imagineering. He has also held posts with research institutions including the Charles Stark Draper Laboratory, MIT and Olin College, where he is now Professor of Mechanical Engineering and Robotics, and Principal Investigator for the Olin Intelligent Vehicle Laboratory. He also serves in an advisory capacity on the boards of several robotics companies. Uncrewed Systems Technology’s consultants Vaisala Xweather and NIRA Dynamics have developed a dataset that combines weather forecasting and computer vision with real-time data, writes Nick Flaherty. The integration draws on data from NIRA Dynamics from billions of data points gathered from connected vehicles. This is paired with Vaisala Xweather’s machine-learning road-weather forecasting models, which achieve accuracy levels that are 50% higher than those of publicly available forecasts. Autonomous driving will become increasingly dependent on accurate, real-time weather and road condition data. Automated driving functions are currently disconnected based on crude weather and roadcondition estimations, such as a temperature drop to under 4 C or a change in tyre rolling resistance. Real-time data from connected vehicles on tyre grip, road friction, surface quality and weather conditions are combined with weather forecasts to give an aggregated dataset. This is then used with computer-vision algorithms to assess road conditions to optimise maintenance efforts such as minimising winter road salt. Driverless vehicles April/May 2025 | Uncrewed Systems Technology Driving dataset combines weather and road conditions Improving driverless car safety (Image courtesy of NIRA)
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