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Gabriel Agamennoni
Gabriel Agamennoni
Verified email at acfr.usyd.edu.au
Title
Cited by
Cited by
Year
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
2582012
An outlier-robust Kalman filter
G Agamennoni, JI Nieto, EM Nebot
2011 IEEE International Conference on Robotics and Automation, 1551-1558, 2011
1702011
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
1432012
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
1372010
Estimation of multivehicle dynamics by considering contextual information
G Agamennoni, JI Nieto, EM Nebot
IEEE Transactions on robotics 28 (4), 855-870, 2012
1112012
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
912015
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
832016
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
792015
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
642016
Mining GPS data for extracting significant places
G Agamennoni, J Nieto, E Nebot
2009 IEEE International Conference on Robotics and Automation, 855-862, 2009
592009
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
582014
A Bayesian approach for driving behavior inference
G Agamennoni, JI Nieto, EM Nebot
2011 IEEE Intelligent Vehicles Symposium (IV), 595-600, 2011
542011
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
502015
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
492016
Robust estimation and applications in robotics
M Bosse, G Agamennoni, I Gilitschenski
Foundations and Trends® in Robotics 4 (4), 225-269, 2016
452016
Self-tuning M-estimators
G Agamennoni, P Furgale, R Siegwart
2015 IEEE International Conference on Robotics and Automation (ICRA), 4628-4635, 2015
352015
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
332014
Robust and accurate road map inference
G Agamennoni, JI Nieto, EM Nebot
2010 IEEE International Conference on Robotics and Automation, 3946-3953, 2010
282010
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
232014
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
182016
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