Camera-radar 3D perception model for autonomous driving H/F

Position description Category
Mathematics, information, scientific, software
Contract
Internship
Job title
Camera-radar 3D perception model for autonomous driving H/F
Subject
Camera-radar 3D perception model for autonomous driving
Contract duration (months)
6
Job Description
The goal of this internship is to investigate advanced methods for fusing complementary information from cameras and radars to achieve a robust and accurate 3D understanding of the driving environment (3d detection, 3d semantic segmentation...). Cameras provide rich semantic and structural cues for object recognition and scene interpretation, while radars deliver precise range and velocity measurements that remain reliable under adverse weather and lighting conditions. By combining these modalities, the intern will explore novel deep learning architectures for multi-sensor fusion, with the aim of improving accuracy in complex driving scenarios.
To achieve these objectives, the intern will be expected to:
Review the state of the art on camera-radar fusion for 3D perception
Design, develop and evaluate a novel deep learning models for multi-sensor fusion
Contribute to research reports and potential publications
Conformément aux engagements pris par le CEA en faveur de l'intégration des personnes handicapées, cet emploi est ouvert à toutes et à tous. Le CEA propose des aménagements et/ou des possibilités d'organisation pour l'inclusion des travailleurs handicapés.
Position location Site
Saclay
Job location
France, Ile-de-France, Essonne (91)
Location
Saclay
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