Time Content
 9:00 -  9:10 Opening remarks
  9:10 - 10:00 Invited talk: Appearance-Only SLAM and the FabMap Algorithm by Mark Cummins, University of Oxford
10:00 - 10:30 Bayesian Formulation of Data Association and Markov Chain Monte Carlo Data Association, Songhwai Oh, University of California
10:30 - 11:00 coffee break
11:00 - 11:30 Implicit Data Association from Spectrally Clustered Local Matches, Edwin Olson, MIT
11:30 - 12:00 Active Matching, Margarita Chli and Andrew J. Davison, Imperial College London
12:00 - 12:30 Learning to Associate with CRF-Matching, Fabio Ramos and Dieter Fox, University of Sydney
12:30 - 13:30 lunch break
13:30 - 14:00 An overview of the benchmark data set
14:00 - 14:30 Vision SLAM needs appearance based methods, O. Booij, et al., University of Amsterdam
14:30 - 15:00 Keypoint Design and Evaluation for Global Localization in 2D Lidar Maps, Michael Bosse and Robert Zlot, CSIRO ICT Centre, Australia
15:00 - 15:30 A comparison of loop closing techniques in monocular SLAM, Brian Williams, et al., University of Oxford
15:30 - 16:00 coffee break
16:00 - 17:00 Plenary discussion: The data-association problem -- Can we solve it? Can we circumvent it?
17:00 - 17:15 Closing remarks