Gabriel Agamennoni

35 papers A* 4A 2B 7C 4Journal 11Unranked 7
YearRankTypeTitle / Venue / Authors
2016 J jnl
A variational approach to simultaneous multi-object tracking and classification.
Int. J. Robotics Res.
Victor Romero-Cano, Gabriel Agamennoni, Juan I. Nieto
2016 J jnl
Online self-calibration for robotic systems.
Int. J. Robotics Res.
Jérôme Maye, Hannes Sommer, Gabriel Agamennoni, Roland Siegwart, Paul Timothy Furgale
2016 A conf
Point Clouds Registration with Probabilistic Data Association.
IROS
Gabriel Agamennoni, Simone Fontana, Roland Yves Siegwart, Domenico G. Sorrenti
2016 J jnl
Robust Estimation and Applications in Robotics.
Found. Trends Robotics
Michael Bosse, Gabriel Agamennoni, Igor Gilitschenski
2015 J jnl
An Unsupervised Approach for Inferring Driver Behavior From Naturalistic Driving Data.
IEEE Trans. Intell. Transp. Syst.
Asher Bender, Gabriel Agamennoni, James R. Ward, Stewart Worrall, Eduardo Mario Nebot
2015 — conf
Feature Relevance Estimation for Learning Pedestrian Behavior at Crosswalks.
ITSC
Benjamin Völz, Holger Mielenz, Gabriel Agamennoni, Roland Siegwart
2015 — conf
Long-Endurance Sensing and Mapping Using a Hand-Launchable Solar-Powered UAV.
FSR
Philipp Oettershagen, Thomas Stastny, Thomas Mantel, Amir Melzer, Konrad Rudin, Pascal Gohl, Gabriel Agamennoni, Kostas Alexis, Roland Siegwart
2015 A* conf
Self-tuning M-estimators.
ICRA
Gabriel Agamennoni, Paul Timothy Furgale, Roland Siegwart
2015 — conf
Victim Detection from a Fixed-Wing UAV: Experimental Results.
ISVC (1)
Anurag Sai Vempati, Gabriel Agamennoni, Thomas Stastny, Roland Siegwart
2014 C conf
A variational approach to simultaneous tracking and classification of multiple objects.
FUSION
Victor Romero-Cano, Gabriel Agamennoni, Juan I. Nieto
2014 — conf
Automated extraction of driver behaviour primitives using Bayesian agglomerative sequence segmentation.
ITSC
Gabriel Agamennoni, Stewart Worrall, James R. Ward, Eduardo M. Nebot
2014 C conf
Bayesian model-based sequence segmentation for inferring primitives in driving-behavioral data.
FUSION
Gabriel Agamennoni, James R. Ward, Stewart Worrall, Eduardo Mario Nebot
2014 — conf
Estimating time to interaction for vehicles in ITS applications.
ITSC
Stewart Worrall, James R. Ward, Gabriel Agamennoni, David Orchansky, Eduardo Mario Nebot
2014 J jnl
Fault Detection for Vehicular Ad Hoc Wireless Networks.
IEEE Intell. Transp. Syst. Mag.
Stewart Worrall, Gabriel Agamennoni, James R. Ward, Eduardo Mario Nebot
2014 J jnl
Robust Estimation in Non-Linear State-Space Models With State-Dependent Noise.
IEEE Trans. Signal Process.
Gabriel Agamennoni, Eduardo Mario Nebot
2014 J jnl
The Warrigal Dataset: Multi-Vehicle Trajectories and V2V Communications.
IEEE Intell. Transp. Syst. Mag.
James R. Ward, Stewart Worrall, Gabriel Agamennoni, Eduardo Mario Nebot
2014 B conf
Vehicle collision probability calculation for general traffic scenarios under uncertainty.
Intelligent Vehicles Symposium
James R. Ward, Gabriel Agamennoni, Stewart Worrall, Eduardo Mario Nebot
2013 B conf
Anomaly detection in driving behaviour by road profiling.
Intelligent Vehicles Symposium
Gabriel Agamennoni, James R. Ward, Stewart Worrall, Eduardo Mario Nebot
2013 — conf
Comprehensive data collection and context based metric evaluation for safety monitoring.
ITSC
James R. Ward, Stewart Worrall, Gabriel Agamennoni, Eduardo Mario Nebot
2013 B conf
Fault detection for vehicular ad-hoc wireless networks.
Intelligent Vehicles Symposium
Stewart Worrall, Gabriel Agamennoni, James R. Ward, Eduardo Mario Nebot
2013 C conf
Robust non-linear smoother for state-space models.
FUSION
Gabriel Agamennoni, Eduardo Mario Nebot
2013 B conf
Robust non-linear smoothing for vehicle state estimation.
Intelligent Vehicles Symposium
Gabriel Agamennoni, Stewart Worrall, James R. Ward, Eduardo Mario Nebot
2013 B conf
Unsupervised motion learning from a moving platform.
Intelligent Vehicles Symposium
Victor Romero-Cano, Juan I. Nieto, Gabriel Agamennoni
2013 B conf
Vehicle operation safety monitoring using context based metrics: A case study.
Intelligent Vehicles Symposium
James R. Ward, Stewart Worrall, Gabriel Agamennoni, Eduardo Mario Nebot
2012 J jnl
A Context-Based Approach to Vehicle Behavior Prediction.
IEEE Intell. Transp. Syst. Mag.
Stewart Worrall, Gabriel Agamennoni, Juan I. Nieto, Eduardo Mario Nebot
2012 J jnl
Approximate Inference in State-Space Models With Heavy-Tailed Noise.
IEEE Trans. Signal Process.
Gabriel Agamennoni, Juan I. Nieto, Eduardo Mario Nebot
2012 J jnl
Estimation of Multivehicle Dynamics by Considering Contextual Information.
IEEE Trans. Robotics
Gabriel Agamennoni, Juan I. Nieto, Eduardo Mario Nebot
2012 C conf
On conservative fusion of information with unknown non-Gaussian dependence.
FUSION
Tim Bailey, Simon Julier, Gabriel Agamennoni
2011 B conf
A bayesian approach for driving behavior inference.
Intelligent Vehicles Symposium
Gabriel Agamennoni, Juan I. Nieto, Eduardo Mario Nebot
2011 A* conf
An outlier-robust Kalman filter.
ICRA
Gabriel Agamennoni, Juan I. Nieto, Eduardo Mario Nebot
2011 A conf
Loop-closure candidates selection by exploiting structure in vehicle trajectory.
IROS
Juan I. Nieto, Gabriel Agamennoni, Teresa A. Vidal-Calleja
2011 J jnl
Robust Inference of Principal Road Paths for Intelligent Transportation Systems.
IEEE Trans. Intell. Transp. Syst.
Gabriel Agamennoni, Juan I. Nieto, Eduardo Mario Nebot
2010 A* conf
Robust and accurate road map inference.
ICRA
Gabriel Agamennoni, Juan I. Nieto, Eduardo Mario Nebot
2010 — conf
Vehicle activity segmentation from position data.
ITSC
Gabriel Agamennoni, Juan I. Nieto, Eduardo M. Nebot
2009 A* conf
Mining GPS data for extracting significant places.
ICRA
Gabriel Agamennoni, Juan I. Nieto, Eduardo Mario Nebot