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Fusion at detection level for frontal object perception.

, , and . Intelligent Vehicles Symposium, page 1225-1230. IEEE, (2014)

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Frontal object perception using radar and mono-vision., , , and . Intelligent Vehicles Symposium, page 159-164. IEEE, (2012)Multiple Sensor Fusion and Classification for Moving Object Detection and Tracking., and . IEEE Trans. Intell. Transp. Syst., 17 (2): 525-534 (2016)A Probabilistic Method for Ranking Refinement in Geographic Information Retrieval., , , , and . Proces. del Leng. Natural, (2010)Multiple Sensor Fusion for Detection, Classification and Tracking of Moving Objects in Driving Environments. (Fusion multi-capteur pour la detection, classification et suivi d'objets mobiles en environnement routier).. University of Grenoble, France, (2014)Using a Markov Random Field for Image Re-ranking Based on Visual and Textual Features., , and . Computación y Sistemas, (2011)Affordance Equivalences in Robotics: A Formalism., , , , and . Frontiers Neurorobotics, (2018)Gait-dependent Traversability Estimation on the k-rock2 Robot., , , , , , and . ICPR, page 4204-4210. IEEE, (2022)Fusion at detection level for frontal object perception., , and . Intelligent Vehicles Symposium, page 1225-1230. IEEE, (2014)Fusion framework for moving-object classification., , , and . FUSION, page 1159-1166. IEEE, (2013)Discovering affordances through perception and manipulation., , and . IROS, page 3959-3964. IEEE, (2016)