State-of-the-art in research in this challenging yet crucial and topical field, addressing the challenges associated with sense and avoid systems in UASs/ UAVs in their complexity and entirety. Sense and avoid systems are a key technology in the fastest growing field of aircraft development - unmanned aircraft systems. Sense and Avoid in UAS: Research and Applications addresses the challenges associated with sense and avoid systems in UASs/ UAVs in their complexity and entirety. Encompassing the state-of-the-art in research in this challenging yet crucial and topical field, it isauthored by leading practitioners and researchers from three different continents worldwide working on multi-million research programmes such as ASTRAEA. Highly original, it fulfils the current gap in the published literature on sense and avoid covering views and analyses from sensing to guidance to human factors to regulatory issues. The authors assume some basic knowledge of aviation navigation and aerodynamics, but address principles rather than complex mathematics. Addresses the challenges associated with sense and avoid systems in UASs/ UAVs in their complexity and entirety Fulfils the current gap in published literature on sense and avoid Covers views and analyses from sensing to guidance to human factors to regulatory issues Authored by leading researchers as well as industry practitioners worldwide.

Plamen Parvanov Angelov, Lancaster University, UK
Plamen Parvanov is a senior lecturer in the School of Computing and Communications at Lancaster University. He is an Associate Editor of three international journals and the founding co-Editor-in-Chief of the Springer journal Evolving Systems. He is also the Vice Chair of the Technical Committee on Standards, Computational Intelligence Society, IEEE and co-Chair of several IEEE conferences. His research in UAV/UAS is often publicised in external publications, e.g. the prestigious Computational Intelligence Magazine; Aviation Week, Flight Global, Airframer, Flight International, etc. His research focuses on computational intelligence and evolving systems, and his research in to autonomous systems has received worldwide recognition. As the Principle Investigator at Lancaster University for a team working on UAV Sense and Avoid fortwo projects of ASTRAEA his work was recognised by 'The Engineer Innovation and Technology 2008 Award in two categories: i) Aerospace and Defence and ii) The Special Award which is an outstanding achievement.