Image-to-lidar self-supervised distillation for autonomous driving data

Mai 29, 2022

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Gilles Puy, Valeo.ai Lidar sensors deliver rich information about the 3D world, and making sense of this kind of information is crucial for an autonomous driving vehicle to properly act in its environment. I will briefly describe some of the 3D perception tasks we tackle at valeo.ai and then concentrate on one of our latest contributions which improves the annotation efficiency for semantic segmentation and object detection in sparse Lidar point clouds. This technique leverages synchronized and calibrated image and Lidar sensors in autonomous driving setups to distill self-supervised pre-trained 2D image representations into 3D models.

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