Approximate inference in state-space models with heavy-tailed noise G Agamennoni, JI Nieto, EM Nebot IEEE Transactions on Signal Processing 60 (10), 5024-5037, 2012 | 266 | 2012 |
An outlier-robust Kalman filter G Agamennoni, JI Nieto, EM Nebot 2011 IEEE international conference on robotics and automation, 1551-1558, 2011 | 177 | 2011 |
On conservative fusion of information with unknown non-Gaussian dependence T Bailey, S Julier, G Agamennoni 2012 15th International Conference on Information Fusion, 1876-1883, 2012 | 151 | 2012 |
Robust inference of principal road paths for intelligent transportation systems G Agamennoni, JI Nieto, EM Nebot IEEE Transactions on Intelligent Transportation Systems 12 (1), 298-308, 2010 | 138 | 2010 |
Estimation of multivehicle dynamics by considering contextual information G Agamennoni, JI Nieto, EM Nebot IEEE Transactions on robotics 28 (4), 855-870, 2012 | 109 | 2012 |
Extending time to collision for probabilistic reasoning in general traffic scenarios JR Ward, G Agamennoni, S Worrall, A Bender, E Nebot Transportation Research Part C: Emerging Technologies 51, 66-82, 2015 | 106 | 2015 |
Point clouds registration with probabilistic data association G Agamennoni, S Fontana, RY Siegwart, DG Sorrenti 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016 | 91 | 2016 |
An unsupervised approach for inferring driver behavior from naturalistic driving data A Bender, G Agamennoni, JR Ward, S Worrall, EM Nebot IEEE transactions on intelligent transportation systems 16 (6), 3325-3336, 2015 | 84 | 2015 |
Long-endurance sensing and mapping using a hand-launchable solar-powered uav P Oettershagen, T Stastny, T Mantel, A Melzer, K Rudin, P Gohl, ... Field and Service Robotics: Results of the 10th International Conference …, 2016 | 67 | 2016 |
Vehicle collision probability calculation for general traffic scenarios under uncertainty J Ward, G Agamennoni, S Worrall, E Nebot 2014 IEEE Intelligent Vehicles Symposium Proceedings, 986-992, 2014 | 62 | 2014 |
Mining GPS data for extracting significant places G Agamennoni, J Nieto, E Nebot 2009 IEEE International Conference on Robotics and Automation, 855-862, 2009 | 59 | 2009 |
A Bayesian approach for driving behavior inference G Agamennoni, JI Nieto, EM Nebot 2011 IEEE Intelligent Vehicles Symposium (IV), 595-600, 2011 | 57 | 2011 |
Feature relevance estimation for learning pedestrian behavior at crosswalks B Völz, H Mielenz, G Agamennoni, R Siegwart 2015 IEEE 18th International Conference on Intelligent Transportation …, 2015 | 56 | 2015 |
Online self-calibration for robotic systems J Maye, H Sommer, G Agamennoni, R Siegwart, P Furgale The International Journal of Robotics Research 35 (4), 357-380, 2016 | 54 | 2016 |
Robust estimation and applications in robotics M Bosse, G Agamennoni, I Gilitschenski Foundations and Trends® in Robotics 4 (4), 225-269, 2016 | 53 | 2016 |
Self-tuning M-estimators G Agamennoni, P Furgale, R Siegwart 2015 IEEE International Conference on Robotics and Automation (ICRA), 4628-4635, 2015 | 36 | 2015 |
The warrigal dataset: Multi-vehicle trajectories and v2v communications J Ward, S Worrall, G Agamennoni, E Nebot IEEE Intelligent Transportation Systems Magazine 6 (3), 109-117, 2014 | 34 | 2014 |
Robust and accurate road map inference G Agamennoni, JI Nieto, EM Nebot 2010 IEEE International Conference on Robotics and Automation, 3946-3953, 2010 | 28 | 2010 |
Robust estimation in non-linear state-space models with state-dependent noise G Agamennoni, EM Nebot IEEE Transactions on Signal Processing 62 (8), 2165-2175, 2014 | 22 | 2014 |
A variational approach to simultaneous multi-object tracking and classification V Romero-Cano, G Agamennoni, J Nieto The International Journal of Robotics Research 35 (6), 654-671, 2016 | 19 | 2016 |