Abstract:

GPS has enabled a number of location based services outdoors, but the problem of localisation remains open in GPS-denied environments, such as indoors and underground. In this talk, I will discuss the key challenges to accurate and robust position estimation, and will describe a variety of sensor modalities and algorithms developed at Oxford to address this problem.

The talk will cover inertial, radio-based and vision-based localisation approaches and their advantages and disadvantages in different settings.

Short Bio:

Niki Trigoni is a Professor at the Oxford University Department of Computer Science and a fellow of Kellogg College. She obtained her PhD at the University of Cambridge (2001), became a postdoctoral researcher at Cornell University (2002-2004), and a Lecturer at Birkbeck College (2004-2007). Since she moved to Oxford in 2007, she established the Sensor Networks Group, and has conducted research in communication, localization and in-network processing algorithms for sensor networks. Her recent and ongoing projects span a wide variety of sensor networks applications, including indoor/underground localization, wildlife sensing, road traffic monitoring, autonomous (aerial and ground) vehicles, and sensor networks for industrial processes.