ADAS

A conference paper analyzing the alignment between conventional computer vision metrics and the practical needs of ADAS/AD perception systems, proposing an application-focused evaluation framework.

Lectio magistralis delivered for the ECN Mastère Spécialisé, introducing key concepts in sensor fusion and scene understanding for autonomous driving and ADAS.

Lectio magistralis delivered for the ENSTA Mastère Spécialisé, introducing key concepts in sensor fusion and scene understanding for autonomous driving and ADAS.

Lectio magistralis delivered for the ESIEE Mastère Spécialisé, introducing key concepts in sensor fusion and scene understanding for autonomous driving and ADAS.

A patent describing a method for robust lane boundary detection using map data, polynomial boundary representation, and Mahalanobis distance computations.

Development of sensor fusion and scene understanding algorithms powering Adaptive Cruise Control (ACC), Autonomous Emergency Braking (AEB) and Local Hazards Detection (V2X) on the next-generation Alpine A390 and other vehicles on the same project.

Development of sensor fusion and scene understanding algorithms powering Adaptive Cruise Control (ACC) and Autonomous Emergency Braking (AEB) on the next-generation Renault 5 and other vehicles on the same project.

Development of scene-understanding, perception, and sensor-fusion algorithms powering ADAS functions (AEB, ACC, LCA, ELKA) on Ampere’s FlexEVan - one of the first Software-Defined Vehicles (SDV) from Renault Group and in Europe.