Les missions du poste

Annotationg in 3D such (detection, segmentation ...), is required to train reliable perception models, which can be used in autonomous driving for example. However such a process requires multi-modal (camera, LIDAR, RADAR) visualization and annotation which is a complicated and costly process. This is why at CEA-List we aim to develop smart tools to facilitate this annotation process.
The objective of the internship is to allow for multi-modal annotation and visualization of 3D scenes. For example, annotate a scene observed by an autonomous vehicle with both cameras and LIDAR sensors. Develop both backend and front end for our open source annotation tool PIXANO to allow for :
Multimodal visualization (camera / LIDAR / bev / 3D)
Visualization of Nerf and/or Gaussian splatting
Annotation in 2.5D at bird's eye view

Students in their 4th or 5th year of studies (M1, M2 or gap year)
Computer vision skills
Strong interest for 3D
Coding skills relevant for both frontend and backend development is best (Python, JavaScritp, SQL)