Airborne First-Person View Vehicles: Conceptual Applications In Air Pollution Measurement And Environmental Health Risk Assessment

Raouf Naguib
BIOCORE Research & Consultancy International and Nottingham Trent University


Based on the premise that the environment plays a vital role in the health and wellbeing of populations, this Lecture presents research currently being undertaken by BIOCORE Research & Consultancy International and Nottingham Trent University, UK. The aim of the Lecture is to introduce the concept of using First-Person View (FPV) vehicles in the realm of environmental analysis.

An FPV, also known as remote-person view (RPV), or simply video piloting, is a method used to control a radio-controlled vehicle from the driver or pilot's viewpoint. Most commonly it is used to pilot an unmanned aerial vehicle (UAV) or a radio-controlled aircraft. The vehicle is either driven or piloted remotely from a first-person perspective via an on-board camera, fed wirelessly to video goggles or a video monitor. More sophisticated setups include a pan-and-tilt camera controlled by a gyroscope sensor in the pilot's goggles and with dual on-board cameras, enabling a true stereoscopic view.

From an environmental research point of view, an FPV can conceptually offer many opportunities for the measurement, analysis and health risk assessment of environmental air pollutants (NOx, SOx, CO, PM2.5, PM10) and events. In a highly polluted city, such as Metro Manila, the use of an FPV to capture and provide air pollution data can be achieved through the mounting of pollutant sensors on the FPV which, along with corresponding GPS data, can exactly identify locations of pollution hotspots within a certain radius of operation. This data can, in turn, be further analysed and subsequently correlated to health data within the same conurbation in order to establish the individual effects of air pollutants on specific disease (such as cardiovascular or respiratory) development and/or exacerbation.

About the Speaker:

Raouf Naguib

Raouf Naguib is the Director of BIOCORE Research & Consultancy International in the UK. Prior to this he was Professor of Biomedical Computing and Head of the Biomedical Computing and Engineering Technologies Applied Research Group at Coventry University, UK. He has published over 360 journal and conference papers and reports in many aspects of health informatics, environmental health, social health, biomedical and digital signal processing, biomedical image processing and the applications of artificial intelligence and evolutionary computation in cancer research. He has also published a book on digital filtering, and co-edited a second book on the applications of artificial neural networks in cancer diagnosis, prognosis and patient management. He was awarded the Fulbright Cancer Fellowship in 1995-96 when he carried out research in the USA, at the University of Hawaii in Mãnoa, on the applications of artificial neural networks in breast cancer diagnosis and prognosis.

Prof Naguib is a member of several national and international research committees and boards, and has served on the Administrative Committee of the IEEE Engineering in Medicine and Biology Society (EMBS), representing Region 8, and the Society’s Distinguished Lecturers Committee and Infostructure Committee, as well as the UK EPSRC Peer Review College. He also represented the IEEE-EMBS on the IEEE-USA Committee on Communications and Information Policy. He currently serves on several international review panels, including the European Commission, Qatar National Research Fund, UAE National Research Foundation and the Canadian Foundation for Innovation (CFI).

In 2003, Prof Naguib was appointed as Adjunct Research Professor at the University of Carleton, Ottawa, Canada, and in 2005 he was appointed as Honorary Professor at De La Salle University, Manila, Philippines.