Federico Camarda
Senior Software Tech Lead, AD/ADAS Scene Understanding | PhD in Automation and Robotics
Ampere
Renault Group
About me
Since 2017, I work and research for making vehicles smarter and safer. Today, as Senior Software Tech Lead for AD/ADAS Scene Understanding, I lead the design, implementation and validation of algorithms for road scene understanding in ADAS software of Renault vehicles. I obtained a PhD in Automation and Robotics from Université de Technologie de Compiègne in partnership with Renault Group.
Download my resumé.
Interests
- Intelligent vehicles
- Artificial Intelligence
- Computer Vision
Education
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PhD in Automation and Robotics, 2022
Université de Technologie de Compiègne
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MSc in Complex Systems Engineering, 2017
Université de Technologie de Compiègne
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MSc in Computer Engineering, 2017
University of Genoa
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BSc in Computer Engineering, 2015
University of Genoa
Experience
Senior Software Tech Lead, AD/ADAS Scene Understanding
Ampère (by Renault Group)
AD/ADAS Software Engineer
Ampère (by Renault Group)
Research Engineer | PhD Student
Renault Group
Research Intern
Heudiasyc
Projects
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Publications
(2025).
Perception Metrics for Intelligent Vehicles: An Application-Focused Evaluation.
ITSC 2025.
(2024).
Method for detecting a boundary of a traffic lane.
Patent.
(2023).
Procédé de détection d'une limite d'une voie de circulation.
Patent FR3128304.
(2022).
Multi-sensor data fusion for lane boundaries detection applied to autonomous vehicle.
PhD Thesis.
(2020).
Multisensor Tracking of Lane Boundaries based on Smart Sensor Fusion.
IV Symposium.
(2018).
Fusion of evidential occupancy grids for cooperative perception.
In SoSE 2018.
Collaborated with
