Gabriel Agamennoni

Publication Activity (10 Years)

Years Active: 2009-2016
Publications (10 Years): 4

Top Topics

Probabilistic Data Association

Robust Estimation

Moving Platform

Fault Detection

Top Venues

Intelligent Vehicles Symposium

IEEE Intell. Transp. Syst. Mag.

Publications

Jérôme Maye, Hannes Sommer, Gabriel Agamennoni, Roland Siegwart, Paul Timothy Furgale
Online self-calibration for robotic systems. Int. J. Robotics Res. 35 (4) (2016)
Michael Bosse, Gabriel Agamennoni, Igor Gilitschenski
Robust Estimation and Applications in Robotics. Found. Trends Robotics 4 (4) (2016)
Victor Romero-Cano, Gabriel Agamennoni, Juan I. Nieto
A variational approach to simultaneous multi-object tracking and classification. Int. J. Robotics Res. 35 (6) (2016)
Gabriel Agamennoni, Simone Fontana, Roland Yves Siegwart, Domenico G. Sorrenti
Point Clouds Registration with Probabilistic Data Association. IROS (2016)
Gabriel Agamennoni, Paul Timothy Furgale, Roland Siegwart
Self-tuning M-estimators. ICRA (2015)
Philipp Oettershagen, Thomas Stastny, Thomas Mantel, Amir Melzer, Konrad Rudin, Pascal Gohl, Gabriel Agamennoni, Kostas Alexis, Roland Siegwart
Long-Endurance Sensing and Mapping Using a Hand-Launchable Solar-Powered UAV. FSR (2015)
Asher Bender, Gabriel Agamennoni, James R. Ward, Stewart Worrall, Eduardo Mario Nebot
An Unsupervised Approach for Inferring Driver Behavior From Naturalistic Driving Data. IEEE Trans. Intell. Transp. Syst. 16 (6) (2015)
Anurag Sai Vempati, Gabriel Agamennoni, Thomas Stastny, Roland Siegwart
Victim Detection from a Fixed-Wing UAV: Experimental Results. ISVC (1) (2015)
Benjamin Volz, Holger Mielenz, Gabriel Agamennoni, Roland Siegwart
Feature Relevance Estimation for Learning Pedestrian Behavior at Crosswalks. ITSC (2015)
James R. Ward, Gabriel Agamennoni, Stewart Worrall, Eduardo Mario Nebot
Vehicle collision probability calculation for general traffic scenarios under uncertainty. Intelligent Vehicles Symposium (2014)
Gabriel Agamennoni, Eduardo Mario Nebot
Robust Estimation in Non-Linear State-Space Models With State-Dependent Noise. IEEE Trans. Signal Process. 62 (8) (2014)
Gabriel Agamennoni, Stewart Worrall, James R. Ward, Eduardo M. Nebot
Automated extraction of driver behaviour primitives using Bayesian agglomerative sequence segmentation. ITSC (2014)
Stewart Worrall, Gabriel Agamennoni, James R. Ward, Eduardo Mario Nebot
Fault Detection for Vehicular Ad Hoc Wireless Networks. IEEE Intell. Transp. Syst. Mag. 6 (2) (2014)
James R. Ward, Stewart Worrall, Gabriel Agamennoni, Eduardo Mario Nebot
The Warrigal Dataset: Multi-Vehicle Trajectories and V2V Communications. IEEE Intell. Transp. Syst. Mag. 6 (3) (2014)
Gabriel Agamennoni, James R. Ward, Stewart Worrall, Eduardo Mario Nebot
Bayesian model-based sequence segmentation for inferring primitives in driving-behavioral data. FUSION (2014)
Victor Romero-Cano, Gabriel Agamennoni, Juan I. Nieto
A variational approach to simultaneous tracking and classification of multiple objects. FUSION (2014)
Stewart Worrall, James R. Ward, Gabriel Agamennoni, David Orchansky, Eduardo Mario Nebot
Estimating time to interaction for vehicles in ITS applications. ITSC (2014)
Gabriel Agamennoni, Eduardo Mario Nebot
Robust non-linear smoother for state-space models. FUSION (2013)
Stewart Worrall, Gabriel Agamennoni, James R. Ward, Eduardo Mario Nebot
Fault detection for vehicular ad-hoc wireless networks. Intelligent Vehicles Symposium (2013)
James R. Ward, Stewart Worrall, Gabriel Agamennoni, Eduardo Mario Nebot
Comprehensive data collection and context based metric evaluation for safety monitoring. ITSC (2013)
Gabriel Agamennoni, Stewart Worrall, James R. Ward, Eduardo Mario Nebot
Robust non-linear smoothing for vehicle state estimation. Intelligent Vehicles Symposium (2013)
James R. Ward, Stewart Worrall, Gabriel Agamennoni, Eduardo Mario Nebot
Vehicle operation safety monitoring using context based metrics: A case study. Intelligent Vehicles Symposium (2013)
Gabriel Agamennoni, James R. Ward, Stewart Worrall, Eduardo Mario Nebot
Anomaly detection in driving behaviour by road profiling. Intelligent Vehicles Symposium (2013)
Victor Romero-Cano, Juan I. Nieto, Gabriel Agamennoni
Unsupervised motion learning from a moving platform. Intelligent Vehicles Symposium (2013)
Gabriel Agamennoni, Juan I. Nieto, Eduardo Mario Nebot
Approximate Inference in State-Space Models With Heavy-Tailed Noise. IEEE Trans. Signal Process. 60 (10) (2012)
Stewart Worrall, Gabriel Agamennoni, Juan I. Nieto, Eduardo Mario Nebot
A Context-Based Approach to Vehicle Behavior Prediction. IEEE Intell. Transp. Syst. Mag. 4 (3) (2012)
Tim Bailey, Simon Julier, Gabriel Agamennoni
On conservative fusion of information with unknown non-Gaussian dependence. FUSION (2012)
Gabriel Agamennoni, Juan I. Nieto, Eduardo Mario Nebot
Estimation of Multivehicle Dynamics by Considering Contextual Information. IEEE Trans. Robotics 28 (4) (2012)
Juan I. Nieto, Gabriel Agamennoni, Teresa A. Vidal-Calleja
Loop-closure candidates selection by exploiting structure in vehicle trajectory. IROS (2011)
Gabriel Agamennoni, Juan I. Nieto, Eduardo Mario Nebot
An outlier-robust Kalman filter. ICRA (2011)
Gabriel Agamennoni, Juan I. Nieto, Eduardo Mario Nebot
Robust Inference of Principal Road Paths for Intelligent Transportation Systems. IEEE Trans. Intell. Transp. Syst. 12 (1) (2011)
Gabriel Agamennoni, Juan I. Nieto, Eduardo Mario Nebot
A bayesian approach for driving behavior inference. Intelligent Vehicles Symposium (2011)
Gabriel Agamennoni, Juan I. Nieto, Eduardo M. Nebot
Vehicle activity segmentation from position data. ITSC (2010)
Gabriel Agamennoni, Juan I. Nieto, Eduardo Mario Nebot
Robust and accurate road map inference. ICRA (2010)
Gabriel Agamennoni, Juan I. Nieto, Eduardo Mario Nebot
Mining GPS data for extracting significant places. ICRA (2009)