SLAM in Transactions on Signal Processing

Our paper on “Optimized Self-Localization for SLAM in Dynamic Scenes using Probability Hypothesis Density Filters” is now available on IEEEXplore: C. Evers and P. A. Naylor, “Optimized Self-Localization for SLAM in Dynamic Scenes using Probability Hypothesis Density Filters,” IEEE Transactions on Signal Processing, vol. 66, no. 1, pp. 863-878, Feb. 2018.

Keynote Slides available online

The slides for Christine Evers’s keynote speech on “Bayesian Learning for Robot Audition” at HSCMA 2017 are now online on the website of the IEEE Audio and Acoustic Signal Processing Technical Committee.

Best paper award

Israel Dejene Gebru from the Perception Group at INRIA and his co-authors, Christine Evers, Patrick Naylor, and Radu Horaud, received the best paper award at the IEEE Fifth Joint Workshop on Hands-free Speech Communication and Microphone Arrays, San Francisco, USA, 1-3 March 2017, for their paper on “Audio-visual Tracking by Density Approximation in a Sequential … [Read more…]

EPSRC Fellowship award within SAP

We are delighted to announce that Dr Christine Evers was awarded an EPSRC Fellowship on “Acoustic Signal Processing and Scene Analysis for Socially Assistive Robots”, starting on 1 January 2017. Christine’s research will focus on acoustic Simultaneous Localization and Mapping (aSLAM), source tracking, and blind speech enhancement, aiming to provide robots and autonomous systems with a situational … [Read more…]