Evangeline Pollard was born in 1984. She got her Signal and Image Processing M.Sc. in 2007 from the University of Lyons. That same year she graduated from the “CPE-Lyons” engineering school in Electronics, Telecommunications and Computing. During 2005-2006, she worked at the German Aerospace Laboratories (DLR) in Munich on the TerraSAR-X processor. In 2010, she defended her PhD work at the French Aerospace Lab (Onera). Then, she pursued her work on data fusion and multi-target tracking in collaboration with the Livic and the Université de Sherbrooke for driving assistance applications. She spend to months at Path, Berkeley as a visitor researcher. Now, she is still working in perception applications for automotive applications.
Details
- Position : ITS expert engineer
- Period: March 2011 – February 2015
Contact
- evangeline.pollard@inria.fr
- Telephone numbers at Inria : +33 1 39 63 53 26
Work
Evangeline Pollard is in charge of the perception activity at Imara. She is responsible of the FURBOT project and is the co-supervisor of Guillaume Tréhard and Pierre Merdrignac‘s PhDs.
Current projects
Past projects
Formation
- Ph.D. in Computer Science at GIPSA-lab (University of Grenoble) and Onera (the French aerospace lab) defended at the 15th October 2010 Subject: Heterogeneous data fusion for the detection and tracking of objects of interest
- Master’s degree ISSI (Instrumentation, Systems, Signal and Image) at INSA Lyon
- Electronic Engineering at CPE Lyon (Lyon School of Chemistry Physics & Electronics), Section: Electronics, Computer Science, Signal Processing, Area of expertise: Image analysis and processing
List of publications
Thèse : “Evaluation de situations dynamiques multicibles par fusion de données spatio-temporelles”
Journal articles
– E. Pollard, B. Pannetier, M. Rombaut,Situation assessment: an entire process for objects of interest detection, to appear in IEEE Transactions on Aerospace and Electronic Systems
Refereed Conference Paper
– E. Pollard, J. Perez, Step and curb detection for autonomous vehicles with an algebraic derivative-based approach applied on laser rangefinder data, accepted to IV, 2013
– M. Revilloud, D. Gruyer, E. Pollard, A new approach for robust road marking detection and tracking applied to multi-lane estimation, accepted to IV, 2013
–E Pollard, P. Morignot, F. Nashashibi, An Ontology-based Model to Determine the Automation Level of an Automated Vehicle for Co-Driving, ICIF, 2013
– P. Resende, E Pollard, H. Li, F. Nashashibi, Low Speed Automation: technical feasibility of the driving sharing in urban area, Intelligent Transportation System Conference, 2013
– H. Li, B. Lefaudeux, E. Pollard, F. Nashashibi , Track-to-Track Fusion Using Split Covariance Intersection Filter-Information Matrix Filter (SCIF-IMF) for Vehicle Surrounding Environment Perception, Intelligent Transportation System Conference, 2013
– P. Resende, E Pollard, H. Li, F. Nashashibi, ABV- A Low Speed Automation Project to Study the Technical Feasibility of Fully Automated Driving, Workshop PAMM, Kumamoto, Japan, 2014
– E. Pollard, F. Nashashibi, A new laser-based system for obstacle detection including step, hole and slope for Personal Mobility Vehicles, Workshop PAMM, Kumamoto, Japan, 2014
– E. Pollard, J. Pérez-Rastelli, F. Nashashibi, On-board Intelligence for the Furbot: a new Concept for Urban Freight Transport, in “Transport Research Arena”, Paris, France, April 2014
– W.L. Ku, E. Pollard, A. Verroust-Blondet and Itheri Yahiaoui, DPM based strategies for road object detection and classification, submitted to ICRA, 2015
– Pierre Merdrignac, E. Pollard, F. Nashashibi, 2D/3D Laser based road obstacle classification for road safety enhancement, submitted to ICRA, 2015
Symposium & other conferences
– E. Pollard, B. Vanholme, D. Gruyer, Détection de marquages pour l’assistance à la conduite, ACFAS, Sherbrooke, 2011
