Pierre Merdrignac is currently a research engineer working in perception and vehicular communication for automotive applications. He is mainly involved in developping new applications for Cooperative Intelligent Transport Systems (C-ITS), in particular within the Sinetic project. He was previously a PHD student in RITS team for the VEDECOM institute. Pierre received his Master of Engineering in 2012 from Télécom Bretagne, a French engineering school in the field of information technologies.
Details
- Position: Research engineer (from oct. 2015 to sept 2016)
- Past position: PHD student (from aug. 2012 to sept 2015)
Contact
- Email: pierre.merdrignac@inria.fr
- Phone: +33 1 3963 5086
Thesis Description:
“Cooperative perception and communication system for protection of vulnerable road users”
Accidents between vehicles and vulnerable users (pedestrians, bicyclists,…) often result in fatalities and serious injuries, showing the need of technology to protect vulnerable people.
Nowadays, vehicles are equipped with many sensors to model their environment, to localize themselves, detect and classify obstacles, etc. They are also provided with communication devices in order to share information with other road users and the environment.
In this context, the thesis is proposing a new cooperative system between vulnerable people (pedestrians, persons with with reduced mobility, bicyclists,…) and intelligent vehicles in order to improve safety and limit collision risk.
On vehicles side, the system is divided into four parts: obstacle detection, tracking, and classification, sensor-triggered vehicle-to-pedestrians (V2P) communications, fusion between perception and communication information, collision risk estimation.
On pedestrians side, the system is composed of three parts: reception of V2P messages, collision risk estimation and pedestrian-to-vehicle (P2V) messages emission.
First, we focused on obstacle detection, tracking and classification using vehicles embedded sensors. More specifically, we decided to apply machine learning methods to classify road obstacles by defining geometric features in laser measurements.
Then, we studied distributed Wi-Fi communications which have the capabilities to disseminate information with low delay in both line-of-sight (LOS) and non line-of-sight (NLOS) conditions. We also evaluated the accuracy of GPS based positioning for estimating the level of danger in a safety system.
In addition, we developed an application that periodically broadcasts vehicles position and dynamics towards pedestrians. When obstacles are detected by the perception system, alert messages are disseminated to specific geographical areas. Pedestrians can receive these V2P messages on their smartphones and acknowledge this reception by sending back their position and dynamics to the vehicles. This application can alert simultaneously vehicles and pedestrians of dangerous situations.
Finally, we are investigating fusion between perception and communication information to take the benefits of both systems: high range and robustness to occluding obstacles for V2P communication, accurate position estimation and high detection capabilites at low range for perception.
Publications:
2019
Conference papers
- titre
- Augmented Perception by V2X Cooperation (PAC-V2X): Security issues and misbehavior detection solutions
- auteur
- Shagdar † Oyunchimeg, Pierre Merdrignac, Mohamed Hadded
- article
- IWCMC’2019, Jun 2019, Tanger, Morocco
- Accès au texte intégral et bibtex
-
2018
Journal articles
- titre
- A Cooperative Car-Following/Emergency Braking System With Prediction-Based Pedestrian Avoidance Capabilities
- auteur
- Carlos Flores, Pierre Merdrignac, Raoul de Charette, Francisco Navas, Vicente Milanés, Fawzi Nashashibi
- article
- IEEE Transactions on Intelligent Transportation Systems, 2018, pp.1 – 10. ⟨10.1109/TITS.2018.2841644⟩
- Accès au texte intégral et bibtex
-
2016
Journal articles
- titre
- Fusion of Perception and V2P Communication Systems for Safety of Vulnerable Road Users
- auteur
- Pierre Merdrignac, Oyunchimeg Shagdar, Fawzi Nashashibi
- article
- IEEE Transactions on Intelligent Transportation Systems, 2016
- Accès au texte intégral et bibtex
-
Conference papers
- titre
- Study and Evaluation of Laser-based Perception and Light Communication for a Platoon of Autonomous Vehicles
- auteur
- Mohammad Abualhoul, Pierre Merdrignac, Oyunchimeg Shagdar, Fawzi Nashashibi
- article
- 2016 IEEE 19th Intelligent Transportation Systems Conference (ITSC 2016), Nov 2016, Rio de Janeiro, Brazil
- Accès au texte intégral et bibtex
-
2015
Conference papers
- titre
- Study on Perception and Communication Systems for Safety of Vulnerable Road Users
- auteur
- Pierre Merdrignac, Oyunchimeg Shagdar, Ines Ben Jemaa, Fawzi Nashashibi
- article
- Intelligent Transportation Systems Conference, ITSC 2015, Sep 2015, Las Palmas de Gran Canaria, Spain. ⟨10.1109/ITSC.2015.304⟩
- Accès au texte intégral et bibtex
-
- titre
- 2D Laser Based Road Obstacle Classification for Road Safety Improvement
- auteur
- Pierre Merdrignac, Evangeline Pollard, Fawzi Nashashibi
- article
- 2015 IEEE International Workshop on Advanced Robotics and its Social Impacts (ARSO 2015), Jul 2015, Lyon, France
- Accès au texte intégral et bibtex
-
Theses
- titre
- Système coopératif de perception et de communication pour la protection des usagers vulnérables
- auteur
- Pierre Merdrignac
- article
- Automatique / Robotique. Ecole Nationale Supérieure des Mines de Paris, 2015. Français. ⟨NNT : 2015ENMP0037⟩
- Accès au texte intégral et bibtex
-
2014
Conference papers
- titre
- Intelligent vehicles: integration and issues
- auteur
- Zayed Alsayed, Guillaume Bresson, Pierre Merdrignac, Philippe Morignot, Fawzi Nashashibi, Evangeline Pollard, Guillaume Trehard
- article
- RFIA 2014 – Dix-neuvième congrès national sur la Reconnaissance de Formes et l’Intelligence Artificielle, Jun 2014, Rouen, France
- Accès au texte intégral et bibtex
-
- titre
- Vehicle to Pedestrian Communications for Protection of Vulnerable road Users
- auteur
- José Javier Anaya, Pierre Merdrignac, Oyunchimeg Shagdar, Fawzi Nashashibi, José E. Naranjo
- article
- 2014 IEEE Intelligent Vehicles Symposium, Jun 2014, Dearborn, Michigan, United States. pp.1-6
- Accès au texte intégral et bibtex
-
Previous experiences
- October, 2011 – March, 2012: Partile filtering for Radar applications, internship at Thales Netherlands, Hengelo, The Neherlands
- July, 2010 – September, 2011: Automatic detection and classification of underwater mines from sidescan sonar images, professional training contract at Thales Underwater Systems, Brest, France