University of Cambridge > Talks.cam > Microsoft Research Summer School > Tracking and localisation for speech and robotics

Tracking and localisation for speech and robotics

Add to your list(s) Download to your calendar using vCal

If you have a question about this talk, please contact Dr Fabien Petitcolas.

Abstract: The Speech Source Tracking (my PhD work) and Robotic Localisation and Mapping problems (my PostDoc work) have been characterized using a very similar probabilistic framework. Nonetheless the techniques used to solve the problems are strikingly different – as a result of the vastly different input sensor data. The first part of talk concerns speaker localization, detection and tracking using noisy recordings from low cost microphones. The approach taken utilizes Particle Filtering techniques drawn from the target tracking community. Meanwhile, robotic mapping is characterised by high-rate, high-quality ranging sensors on mobile autonomous platforms – in this case a robotic kayak where optimization and adjustment are more pressing issues. Results are presented for the vehicle exploring in a uncertain natural environment.

Biography: Maurice Fallon is a Research Scientist with Professor John Leonard’s Marine Robotics Group, in the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT . His current research is mainly concerned with Localization and Mapping for Autonomous Robotic Systems — particularly in Marine and Riverine settings.

He completed his PhD in the Signal Processing Group of the Department of Engineering in Cambridge University and was advised by Simon Godsill. Maurice is originally from Ireland, with his undergraduate studies at University College Dublin.

This talk is part of the Microsoft Research Summer School series.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.

 

© 2006-2020 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity