Heudiasyc laboratory (Heuristics and Diagnosis of Complex Systems, UMR-CNRS 7253), SyRI team (Robotic Systems in Interaction).
Vision for intelligent vehicle with various sensors: RGB camera, event camera, thermal camera, Lidar
Calibration of exteroceptive sensors for intelligent vehicle
Detection applications, embedded or with vehicle and infra fusion
image processing, computer vision, fisheye self/automatic calibration, fisheye visual odometry, fisheye stereovision, 3D point cloud computation of human scale environments, vehicle's GNSS positioning in urban environment, multimodal perception, thermal vision and laser rangefinder on a drone/UAV, 3D modelling of a room in disaster, image analysis with deep learning, multimodal perception for intelligent vehicle
February 2025 - June 2026, Tuan Le: Detection and identification of personal mobility devices (PMDs)
October 2025 - 2028, Iván Gutiérrez : Event-based scene flow for 3D motion analysis, co-directed with V. Cherfaoui and supervised with A. Glover (IIT, EDPR, Genoa, Italy); Grant of the EU MSCA COFUND program SOUND.AI of Sorbonne Center for Artificial Intelligence SCAI
March 2024 - 2027, Galia Fabiola Cornejo Urquieta : Uncertainty and integrity estimation for machine learning based perception systems, co-directed with Y. Grandvalet and supervised with J. Ibanez and F. Camarda from Renault/Ampere
2021, Na Li : Attention mechanisms with uncertainties for detection with strong occlusions, co-supervised with F. Davoine
October 2022 - 2025, Selma Oubouabdellah : Collaborative Data Fusion for Augmented Perception, co-directed with V. Frémont and E. Héry (LS2N, ARMEN, Nantes, France)
October 2021 - 2025, Mathieu Cocheteux : Apprentissage automatique pour l'auto-calibrage de capteurs et l'analyse sémantique de scènes de conduite (Machine learning for joint sensors self-calibration and semantic analysis of driving scenes), co-directed with F. Davoine
With internship from June to November 2022 at Motional Singapore.
October 2020 - 2023, Vincent Brebion : Estimation multimodale du mouvement et de la profondeur basée sur les évènements pour l'analyse de scène (Multimodal estimation of movement and depth based on events for scene analysis), co-directed with F. Davoine
March-August 2025, Paul Longour : Lightweight neural networks for event-based vision, co-supervised with F. Davoine and S. Rousseau
March-August 2023, Chenao Jiang : Moving objects segmentation in driving scenes with event vision, co-supervised with F. Davoine
March-August 2021, Yunfei Zhao : Comparison of state-of-the-art algorithms for detection from road vehicles, co-supervised with F. Davoine
February-July 2020, Nicolò Bogliolo : Convolutional Neural Networks for color and thermal images during day and night time for driving scenes, co-supervised with F. Davoine
February-July 2020, Vincent Brebion : Study and application of the event camera to the autonomous vehicle, co-supervised with F. Davoine
March-August 2020, Aude Chantel : Partage d'information de signalisation routière (Sharing road sign information), co-supervised with B. Ducourthial
Robotic Event Vision through Efficient BNN
French National Research Agency “ANR” funding, Young Researchers program
Project leader
AutoNomous Navigation Among Personal mObiLity devIceS
French National Research Agency “ANR” funding
Collaborator member
Learning for automation of sport videos analysis and production
Wallonie region (Belgium) funding
Post-doc
French Ministry of Environment funding
Ph.D. thesis: Construction of 3D models from fisheye video data -- Application to the localisation in urban area (manuscript in French, there is an English abstract)