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Generic Ontology and Framework for Critical Scenario Description and Generation. Applied to Evaluation and Validation of Automated Vehicle.

, , , and . ITSC, page 783-790. IEEE, (2023)

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How to predict real road state from vehicle embedded camera?, , and . Intelligent Vehicles Symposium, page 593-598. IEEE, (2015)Using statistical models to characterize eco-driving style with an aggregated indicator., and . Intelligent Vehicles Symposium, page 63-68. IEEE, (2012)Estimation of space-speed profiles: A functional approach using smoothing splines., , and . Intelligent Vehicles Symposium, page 982-987. IEEE, (2013)Base de données de capteurs à localisation mobile Modèle et langage., , , and . Ingénierie des Systèmes d Inf., 14 (5): 35-58 (2009)A fast Monte Carlo algorithm for collision probability estimation., , and . ICARCV, page 406-411. IEEE, (2008)3D Object Detection for Self-Driving Cars Using Video and LiDAR: An Ablation Study., , , , , , , and . Sensors, 23 (6): 3223 (March 2023)Collision Probability Assessment for Speed Control., , , and . ITSC, page 1043-1048. IEEE, (2008)Generic Ontology and Framework for Critical Scenario Description and Generation. Applied to Evaluation and Validation of Automated Vehicle., , , and . ITSC, page 783-790. IEEE, (2023)Detection and Localization of Traffic Signals with GPS Floating Car Data and Random Forest., , , , , , and . GIScience, volume 114 of LIPIcs, page 11:1-11:15. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2018)Model-based classification with dissimilarities: a maximum likelihood approach., and . Pattern Anal. Appl., 11 (3-4): 281-298 (2008)